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Title: GitHub - tmabraham/diffusion_reading_group: Diffusion Reading Group at EleutherAI · GitHub

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Description: Diffusion Reading Group at EleutherAI. Contribute to tmabraham/diffusion_reading_group development by creating an account on GitHub.

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#1 DDPM paper.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%231%20DDPM%20paper.pdf
#1 DDPM paper.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%231%20DDPM%20paper.pdf
#11A Progressive Distillation.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2311A%20Progressive%20Distillation.pdf
#11A Progressive Distillation.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2311A%20Progressive%20Distillation.pdf
#11B On Distillation of Guided Diffusion Models.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2311B%20On%20Distillation%20of%20Guided%20Diffusion%20Models.pdf
#11B On Distillation of Guided Diffusion Models.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2311B%20On%20Distillation%20of%20Guided%20Diffusion%20Models.pdf
#12 SDEdit.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2312%20SDEdit.pdf
#12 SDEdit.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2312%20SDEdit.pdf
#13 Latent Diffusion and Stable Diffusion.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2313%20Latent%20Diffusion%20and%20Stable%20Diffusion.pdf
#13 Latent Diffusion and Stable Diffusion.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2313%20Latent%20Diffusion%20and%20Stable%20Diffusion.pdf
#16 Flow Matching.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2316%20Flow%20Matching.pdf
#16 Flow Matching.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2316%20Flow%20Matching.pdf
#18 - Consistency Models.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2318%20-%20Consistency%20Models.pdf
#18 - Consistency Models.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2318%20-%20Consistency%20Models.pdf
#2 Score-based generative modeling.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%232%20Score-based%20generative%20modeling.pdf
#2 Score-based generative modeling.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%232%20Score-based%20generative%20modeling.pdf
#20 Inverse Heat Dissipation.html	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2320%20Inverse%20Heat%20Dissipation.html
#20 Inverse Heat Dissipation.html	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2320%20Inverse%20Heat%20Dissipation.html
#21 Poisson Flow Generative Models.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2321%20Poisson%20Flow%20Generative%20Models.pdf
#21 Poisson Flow Generative Models.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2321%20Poisson%20Flow%20Generative%20Models.pdf
#23 PFGM++.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2323%20PFGM%2B%2B.pdf
#23 PFGM++.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2323%20PFGM%2B%2B.pdf
#26 DDPO.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2326%20DDPO.pdf
#26 DDPO.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2326%20DDPO.pdf
#3 NCSNv2 and Score SDE.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%233%20NCSNv2%20and%20Score%20SDE.pdf
#3 NCSNv2 and Score SDE.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%233%20NCSNv2%20and%20Score%20SDE.pdf
#4 Score SDEs and DDIM.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%234%20Score%20SDEs%20and%20DDIM.pdf
#4 Score SDEs and DDIM.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%234%20Score%20SDEs%20and%20DDIM.pdf
#5 IDDPM and ADM.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%235%20IDDPM%20and%20ADM.pdf
#5 IDDPM and ADM.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%235%20IDDPM%20and%20ADM.pdf
#6 Review.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%236%20Review.pdf
#6 Review.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%236%20Review.pdf
#7 CFG, VDM and DDGAN.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%237%20CFG%2C%20VDM%20and%20DDGAN.pdf
#7 CFG, VDM and DDGAN.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%237%20CFG%2C%20VDM%20and%20DDGAN.pdf
#8 EDM.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%238%20EDM.pdf
#8 EDM.pdf	https://github.com/tmabraham/diffusion_reading_group/blob/main/%238%20EDM.pdf
Diffusion Reading Study Group #9 - DDPM Code Walk-Thru.ipynb	https://github.com/tmabraham/diffusion_reading_group/blob/main/Diffusion%20Reading%20Study%20Group%20%239%20-%20DDPM%20Code%20Walk-Thru.ipynb
Diffusion Reading Study Group #9 - DDPM Code Walk-Thru.ipynb	https://github.com/tmabraham/diffusion_reading_group/blob/main/Diffusion%20Reading%20Study%20Group%20%239%20-%20DDPM%20Code%20Walk-Thru.ipynb
README.md	https://github.com/tmabraham/diffusion_reading_group/blob/main/README.md
README.md	https://github.com/tmabraham/diffusion_reading_group/blob/main/README.md
README	https://github.com/tmabraham/diffusion_reading_group
	https://github.com/tmabraham/diffusion_reading_group#diffusion-reading-group-at-eleutherai
here	https://discord.gg/zBGx3azzUn
Here is a playlist	https://www.youtube.com/playlist?list=PLXqc0KMM8ZtKVEh8fIWEUaIU43SmWnfdM
Diffusion Reading Group at EleutherAI	https://github.com/tmabraham/diffusion_reading_group#diffusion-reading-group-at-eleutherai
Week 1: DDPM paper	https://github.com/tmabraham/diffusion_reading_group#week-1-ddpm-paper
Week 2: Score-based generative modeling	https://github.com/tmabraham/diffusion_reading_group#week-2-score-based-generative-modeling
Week 3: NCSNv2 and Score SDEs	https://github.com/tmabraham/diffusion_reading_group#week-3-ncsnv2-and-score-sdes
Week 4: Score SDEs and DDIM	https://github.com/tmabraham/diffusion_reading_group#week-4-score-sdes-and-ddim
Week 5: IDDPM, ADM, and Classifier-Free Guidance	https://github.com/tmabraham/diffusion_reading_group#week-5-iddpm-adm-and-classifier-free-guidance
Week 6: Review	https://github.com/tmabraham/diffusion_reading_group#week-6-review
Week 7: Classifier-Free Guidance, VDMs, and Denoising Diffusion GANs	https://github.com/tmabraham/diffusion_reading_group#week-7-classifier-free-guidance-vdms-and-denoising-diffusion-gans
Week 8: Perception-Prioritized Training, Elucidating Design Spaces	https://github.com/tmabraham/diffusion_reading_group#week-8-perception-prioritized-training-elucidating-design-spaces
Week 9: DDPM paper, EDM paper code walk-thrus	https://github.com/tmabraham/diffusion_reading_group#week-9-ddpm-paper-edm-paper-code-walk-thrus
Week 10: Paella	https://github.com/tmabraham/diffusion_reading_group#week-10-paella
Week 11: Progressive Distillation, Distillation of Guided Models	https://github.com/tmabraham/diffusion_reading_group#week-11-progressive-distillation-distillation-of-guided-models
Week 12: SDEDit	https://github.com/tmabraham/diffusion_reading_group#week-12-sdedit
Week 13: Latent Diffusion and Stable Diffusion	https://github.com/tmabraham/diffusion_reading_group#week-13-latent-diffusion-and-stable-diffusion
Week 14: Q&A with Robin Rombach	https://github.com/tmabraham/diffusion_reading_group#week-14-qa-with-robin-rombach
Week 15: Soft Diffusion	https://github.com/tmabraham/diffusion_reading_group#week-15-soft-diffusion
Week 16 & 17: Flow Matching	https://github.com/tmabraham/diffusion_reading_group#week-16--17-flow-matching
Week 18: Consistency Models	https://github.com/tmabraham/diffusion_reading_group#week-18-consistency-models
Week 19: Conditional Flow Matching	https://github.com/tmabraham/diffusion_reading_group#week-19-conditional-flow-matching
Week 20: Inverse Heat Dissipation	https://github.com/tmabraham/diffusion_reading_group#week-20-inverse-heat-dissipation
Week 21: Poisson Flow Generative Models	https://github.com/tmabraham/diffusion_reading_group#week-21-poisson-flow-generative-models
Week 22: Min-SNR Weighting Strategy	https://github.com/tmabraham/diffusion_reading_group#week-22-min-snr-weighting-strategy
Week 23: PFGM++	https://github.com/tmabraham/diffusion_reading_group#week-23-pfgm
Week 24: Blurring Diffusion Models	https://github.com/tmabraham/diffusion_reading_group#week-24-blurring-diffusion-models
Week 25: ControlNet	https://github.com/tmabraham/diffusion_reading_group#week-25-controlnet
Week 26: DDPO (RLHF Diffusion)	https://github.com/tmabraham/diffusion_reading_group#week-26-ddpo-rlhf-diffusion
Week 27: Diffusion Transformers	https://github.com/tmabraham/diffusion_reading_group#week-27-diffusion-transformers
Week 28: simple diffusion	https://github.com/tmabraham/diffusion_reading_group#week-28-simple-diffusion
Week 29: Wuerstchen	https://github.com/tmabraham/diffusion_reading_group#week-29-wuerstchen
Week 30: Palette	https://github.com/tmabraham/diffusion_reading_group#week-30-palette
List of papers to cover:	https://github.com/tmabraham/diffusion_reading_group#list-of-papers-to-cover
	https://github.com/tmabraham/diffusion_reading_group#week-1-ddpm-paper
Denoising Diffusion Probabilistic Models	https://arxiv.org/abs/2006.11239
AssemblyAI blog post	https://www.assemblyai.com/blog/diffusion-models-for-machine-learning-introduction/
Recording	https://www.youtube.com/watch?v=B5gfJF8mOPo
Slides	https://github.com/tmabraham/diffusion_reading_group/blob/main/%231%20DDPM%20paper.pdf
	https://github.com/tmabraham/diffusion_reading_group#week-2-score-based-generative-modeling
Generative Modeling by Estimating Gradients of the Data Distribution	https://arxiv.org/abs/1907.05600
Yang Song's blog post	https://yang-song.net/blog/2021/score/
Recording	https://youtu.be/iv6K7yo5KgQ
Slides	https://github.com/tmabraham/diffusion_reading_group/blob/main/%232%20Score-based%20generative%20modeling.pdf
	https://github.com/tmabraham/diffusion_reading_group#week-3-ncsnv2-and-score-sdes
Improved Techniques for Training Score-Based Generative Models	https://arxiv.org/abs/2006.09011
Score-Based Generative Modeling through Stochastic Differential Equations	https://arxiv.org/abs/2011.13456
Yang Song's blog post	https://yang-song.net/blog/2021/score/
Recording	https://www.youtube.com/watch?v=NwfkNEGjNus
Slides	https://github.com/tmabraham/diffusion_reading_group/blob/main/%233%20NCSNv2%20and%20Score%20SDE.pdf
	https://github.com/tmabraham/diffusion_reading_group#week-4-score-sdes-and-ddim
Score-Based Generative Modeling through Stochastic Differential Equations	https://arxiv.org/abs/2011.13456
Yang Song's blog post	https://yang-song.net/blog/2021/score/
Denoising Diffusion Implicit Models	https://arxiv.org/abs/2010.02502
Lilian Weng's blog post	https://lilianweng.github.io/posts/2021-07-11-diffusion-models/#speed-up-diffusion-model-sampling
Recording	https://youtu.be/o4dr7tUQryQ
Slides	https://github.com/tmabraham/diffusion_reading_group/blob/main/%234%20Score%20SDEs%20and%20DDIM.pdf
	https://github.com/tmabraham/diffusion_reading_group#week-5-iddpm-adm-and-classifier-free-guidance
Improved Denoising Diffusion Probabilistic Models	https://arxiv.org/abs/2102.09672
Diffusion Models Beat GANs on Image Synthesis	https://arxiv.org/abs/2105.05233
Classifier-Free Diffusion Guidance	https://arxiv.org/abs/2207.12598
Sander Dieleman's blog post on guidance	https://benanne.github.io/2022/05/26/guidance.html
Recording	https://youtu.be/L4PHJn1VHbY
Slides	https://github.com/tmabraham/diffusion_reading_group/blob/main/%235%20IDDPM%20and%20ADM.pdf
	https://github.com/tmabraham/diffusion_reading_group#week-6-review
Recording	https://www.youtube.com/watch?v=S01qKbC6wdA
Slides	https://github.com/tmabraham/diffusion_reading_group/blob/main/%236%20Review.pdf
	https://github.com/tmabraham/diffusion_reading_group#week-7-classifier-free-guidance-vdms-and-denoising-diffusion-gans
Classifier-Free Diffusion Guidance	https://arxiv.org/abs/2207.12598
Sander Dieleman's blog post on guidance	https://benanne.github.io/2022/05/26/guidance.html
Variational Diffusion Models	https://arxiv.org/abs/2107.00630
Variational Diffusion Model Colab Notebook	https://colab.research.google.com/github/google-research/vdm/blob/main/colab/SimpleDiffusionColab.ipynb
Calvin Luo's blog post	https://calvinyluo.com/2022/08/26/diffusion-tutorial.html#variational-diffusion-models
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs	https://arxiv.org/abs/2112.07804
Vahdat and Kreis's blog post	https://developer.nvidia.com/blog/improving-diffusion-models-as-an-alternative-to-gans-part-2/
Arash Vahdat's DLCT talk slides	https://rosanneliu.com/dlctfs/dlct_220204.pdf
Recording	https://youtu.be/EuK9BeuOSPs
Slides	https://github.com/tmabraham/diffusion_reading_group/blob/main/%237%20CFG%2C%20VDM%20and%20DDGAN.pdf
	https://github.com/tmabraham/diffusion_reading_group#week-8-perception-prioritized-training-elucidating-design-spaces
Perception Prioritized Training of Diffusion Models	https://arxiv.org/abs/2204.00227
Official Codebase	https://github.com/jychoi118/P2-weighting
Elucidating the Design Space of Diffusion-Based Generative Models	https://arxiv.org/abs/2206.00364
Official Codebase	https://github.com/NVlabs/edm
Katherine's codebase	https://github.com/crowsonkb/k-diffusion/
Recording	https://youtu.be/ffq6RAmfGzk
Notebook - P2 paper	https://marii-moe.github.io/quatro-blog/posts/perception-prioritized-training-of-diffusion-models/Perception%20Prioritized%20Training%20of%20Diffusion%20Models.html
Slides - EDM paper	https://github.com/tmabraham/diffusion_reading_group/blob/main/%238%20EDM.pdf
	https://github.com/tmabraham/diffusion_reading_group#week-9-ddpm-paper-edm-paper-code-walk-thrus
Denoising Diffusion Probabilistic Models	https://arxiv.org/abs/2006.11239
Elucidating the Design Space of Diffusion-Based Generative Models	https://arxiv.org/abs/2206.00364
Katherine's codebase	https://github.com/crowsonkb/k-diffusion/
Recording	https://youtu.be/Ke5Wqdj3O5Q
DDPM Colab notebook	https://colab.research.google.com/github/tmabraham/diffusion_reading_group/blob/main/Diffusion%20Reading%20Study%20Group%20%239%20-%20DDPM%20Code%20Walk-Thru.ipynb
	https://github.com/tmabraham/diffusion_reading_group#week-10-paella
Fast Text-Conditional Discrete Denoising on Vector-Quantized Latent Spaces	https://arxiv.org/abs/2211.07292
Recording	https://youtu.be/MY01FGCyaaA
	https://github.com/tmabraham/diffusion_reading_group#week-11-progressive-distillation-distillation-of-guided-models
Progressive Distillation for Fast Sampling of Diffusion Models	https://arxiv.org/abs/2202.00512
On Distillation of Guided Diffusion Models	https://arxiv.org/abs/2210.03142
Recording	https://youtu.be/ssAed4eNhuY
Slides - Progressive Distillation	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2311B%20On%20Distillation%20of%20Guided%20Diffusion%20Models.pdf
Slides - Distillation of Guided Models	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2311B%20On%20Distillation%20of%20Guided%20Diffusion%20Models.pdf
	https://github.com/tmabraham/diffusion_reading_group#week-12-sdedit
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations	https://arxiv.org/abs/2108.01073
Recording	https://www.youtube.com/watch?v=ZMjVKWlmQbM
Slides	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2312%20SDEdit.pdf
	https://github.com/tmabraham/diffusion_reading_group#week-13-latent-diffusion-and-stable-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models	https://arxiv.org/abs/2112.10752
Annotated Paper Implementation of Latent/Stable Diffusion	https://nn.labml.ai/diffusion/stable_diffusion/latent_diffusion.html
Lilian Weng's blog post	https://lilianweng.github.io/posts/2021-07-11-diffusion-models/#speed-up-diffusion-model-sampling
Stable Diffusion	https://github.com/Stability-AI/stablediffusion
HuggingFace blog post on Stable Diffusion	https://huggingface.co/blog/stable_diffusion#how-does-stable-diffusion-work
Recording	https://youtu.be/EZdB63fGum4
Slides	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2313%20Latent%20Diffusion%20and%20Stable%20Diffusion.pdf
	https://github.com/tmabraham/diffusion_reading_group#week-14-qa-with-robin-rombach
Recording	https://youtu.be/GZZvgxIm6WU
	https://github.com/tmabraham/diffusion_reading_group#week-15-soft-diffusion
Soft Diffusion: Score Matching for General Corruptions	https://arxiv.org/abs/2209.05442
Recording	https://www.youtube.com/watch?v=Ped_I1uPL8Q
	https://github.com/tmabraham/diffusion_reading_group#week-16--17-flow-matching
Flow Matching for Generative Modeling	https://arxiv.org/abs/2210.02747
Recording	https://youtu.be/DM8Ft15QmzI
Recording	https://youtu.be/ZeDpfxIVXto
Slides	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2316%20Flow%20Matching.pdf
	https://github.com/tmabraham/diffusion_reading_group#week-18-consistency-models
Consistency Models	https://arxiv.org/abs/2303.01469
Recording	https://youtu.be/M1-jaVuZC4I
Slides	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2318%20-%20Consistency%20Models.pdf
	https://github.com/tmabraham/diffusion_reading_group#week-19-conditional-flow-matching
Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport	https://arxiv.org/abs/2302.00482
Recording	https://youtu.be/d5ljj_pEkUg
	https://github.com/tmabraham/diffusion_reading_group#week-20-inverse-heat-dissipation
Generative Modelling With Inverse Heat Dissipation	https://arxiv.org/abs/2206.13397
Recording	https://youtu.be/q_ozv1VVdAA
Slides	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2320%20Inverse%20Heat%20Dissipation.html
	https://github.com/tmabraham/diffusion_reading_group#week-21-poisson-flow-generative-models
Poisson Flow Generative Models	https://arxiv.org/abs/2209.11178
AssemblyAI blog post	https://www.assemblyai.com/blog/an-introduction-to-poisson-flow-generative-models/
Recording	https://youtu.be/l28qf2Jn7ZA
Slides	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2321%20Poisson%20Flow%20Generative%20Models.pdf
Slides - other formats	https://github.com/irregular-rhomboid/PFGM-talks
	https://github.com/tmabraham/diffusion_reading_group#week-22-min-snr-weighting-strategy
Efficient Diffusion Training via Min-SNR Weighting Strategy	https://arxiv.org/abs/2303.09556
Recording	https://youtu.be/SX_IKmil0ao
	https://github.com/tmabraham/diffusion_reading_group#week-23-pfgm
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models	https://arxiv.org/abs/2302.04265
Recording	https://youtu.be/5YDazNs-YMU
Slides	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2323%20PFGM%2B%2B.pdf
Slides - other formats	https://github.com/irregular-rhomboid/PFGM-talks
	https://github.com/tmabraham/diffusion_reading_group#week-24-blurring-diffusion-models
Blurring Diffusion Models	https://arxiv.org/abs/2209.05557
Recording	https://youtu.be/-zOtwta31LU
	https://github.com/tmabraham/diffusion_reading_group#week-25-controlnet
Adding Conditional Control to Text-to-Image Diffusion Models	https://arxiv.org/abs/2302.05543
Recording	https://youtu.be/S_HCnM8BFk0
	https://github.com/tmabraham/diffusion_reading_group#week-26-ddpo-rlhf-diffusion
Training Diffusion Models with Reinforcement Learning	https://arxiv.org/abs/2305.13301
Recording	https://youtu.be/xzaZ19z8tOQ
Slides	https://github.com/tmabraham/diffusion_reading_group/blob/main/%2326%20DDPO.pdf
	https://github.com/tmabraham/diffusion_reading_group#week-27-diffusion-transformers
Scalable Diffusion Models with Transformers	https://arxiv.org/abs/2212.09748
Recording	https://youtu.be/3UBayMBsuqk
	https://github.com/tmabraham/diffusion_reading_group#week-28-simple-diffusion
simple diffusion: End-to-end diffusion for high resolution images	https://arxiv.org/abs/2301.11093
Recording	https://youtu.be/KIO_amGmqlA
	https://github.com/tmabraham/diffusion_reading_group#week-29-wuerstchen
Wuerstchen: Efficient Pretraining of Text-to-Image Models	https://arxiv.org/abs/2306.00637
Recording	https://youtu.be/YFJDATJcqhg
	https://github.com/tmabraham/diffusion_reading_group#week-30-palette
Palette: Image-to-Image Diffusion Models	https://arxiv.org/abs/2111.05826
Recording	https://youtu.be/7IEue0u2XRE
	https://github.com/tmabraham/diffusion_reading_group#list-of-papers-to-cover
Readme	https://github.com/tmabraham/diffusion_reading_group#readme-ov-file
Please reload this page	https://github.com/tmabraham/diffusion_reading_group
Activity	https://github.com/tmabraham/diffusion_reading_group/activity
19 forks	https://github.com/tmabraham/diffusion_reading_group/forks
Report repository	https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Ftmabraham%2Fdiffusion_reading_group&report=tmabraham+%28user%29
Releases	https://github.com/tmabraham/diffusion_reading_group/releases
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Contributors	https://github.com/tmabraham/diffusion_reading_group/graphs/contributors
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Jupyter Notebook 85.5%	https://github.com/tmabraham/diffusion_reading_group/search?l=jupyter-notebook
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