René's URL Explorer Experiment


Title: VachanVY (Vachan) · GitHub

Open Graph Title: VachanVY - Overview

X Title: VachanVY - Overview

Description: | Deep Learning | Compilers |. VachanVY has 19 repositories available. Follow their code on GitHub.

Open Graph Description: | Deep Learning | Compilers |. VachanVY has 19 repositories available. Follow their code on GitHub.

X Description: | Deep Learning | Compilers |. VachanVY has 19 repositories available. Follow their code on GitHub.

Opengraph URL: https://github.com/VachanVY

X: @github

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og:image:alt| Deep Learning | Compilers |. VachanVY has 19 repositories available. Follow their code on GitHub.
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VachanVYhttps://patch-diff.githubusercontent.com/VachanVY/VachanVY
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nanocchttps://github.com/VachanVY/nanocc
https://patch-diff.githubusercontent.com/VachanVY#nanocc
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https://patch-diff.githubusercontent.com/VachanVY#nanocc-progress
NeuroForgehttps://github.com/VachanVY/NeuroForge
https://patch-diff.githubusercontent.com/VachanVY#neuroforge
Neural Networkshttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#neural-networks
nn.ipynbhttps://github.com/VachanVY/NeuroForge/blob/main/nn.ipynb
Logistic Regressionhttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#logistic-regression
logistic_regression.ipynbhttps://github.com/VachanVY/NeuroForge/blob/main/logistic_regression.ipynb
Forward Propagation, Back Propagation Equations Derived — trained using gradient descenthttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#logistic-regression
Why you shouldn't use sigmoid activation in hidden layers in Neural Networkshttps://github.com/VachanVY/NeuroForge/tree/main?tab=readme-ov-file#why-you-shouldnt-use-sigmoid-activation-in-hidden-layers-in-neural-networks
MLPhttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#logistic-regression
Forward Propagation (Explained using Pen and Paper)https://github.com/VachanVY/NeuroForge?tab=readme-ov-file#logistic-regression
Back Propagation (Equations Derived using Pen and Paper)https://github.com/VachanVY/NeuroForge?tab=readme-ov-file#logistic-regression
Gradient Descenthttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#logistic-regression
Train Loophttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#logistic-regression
Resultshttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#results
Batch-Normalization and Layer-Normalization: Why When Where & How?https://github.com/VachanVY/NeuroForge?tab=readme-ov-file#results
batchnorm.ipynbhttps://github.com/VachanVY/NeuroForge/blob/main/batchnorm.ipynb
layernorm.ipynbhttps://github.com/VachanVY/NeuroForge/blob/main/layernorm.ipynb
Batch-Normalizationhttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#batch-normalization
Layer-Normalizationhttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#layer-normalization
Comparisionhttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#comparision
Dropout: Why When Where & How?https://github.com/VachanVY/NeuroForge?tab=readme-ov-file#dropout-paper-deep-learning-book
dropout.ipynbhttps://github.com/VachanVY/NeuroForge/blob/main/dropout.ipynb
dropout_scale.ipynbhttps://github.com/VachanVY/NeuroForge/blob/main/dropout_scale.ipynb
Comparision before and after scaling the modelhttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#comparision-1
dropout_scale.ipynbhttps://github.com/VachanVY/NeuroForge/blob/main/dropout_scale.ipynb
nn_scale.ipynbhttps://github.com/VachanVY/NeuroForge/blob/main/nn_scale.ipynb
LeNet: Convolutional Neural Networks from scratchhttps://github.com/VachanVY/NeuroForge/tree/main?tab=readme-ov-file#lenet-convolutional-neural-networks-from-scratch
train_lenet.ipynbhttps://github.com/VachanVY/NeuroForge/blob/main/train_lenet.ipynb
Basics of Convolutional Operatorhttps://github.com/VachanVY/NeuroForge/tree/main?tab=readme-ov-file#lenet-convolutional-neural-networks-from-scratch
LeNet from scratch: Forward Propagation and Backward Propagation derived using pen & paper and codedhttps://github.com/VachanVY/NeuroForge/tree/main#:~:text=My%20notes%20for%20LeNet%20forward%20propagation%20and%20backwards%20propagation
Neural Network Optimizationhttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#neural-network-optimization
optim.py — custom impl of SGD w-w/o Momentum, RMSProp, Adam, Muonhttps://github.com/VachanVY/NeuroForge/blob/main/optimizers/optim.py
Momentumhttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#momentum
Bias Correctionhttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#bias-correction
Adaptive Learning Rate — RMSProphttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#adaptive-learning-rate
Nestrov accelerated gradienthttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#nestrov-accelerated-gradient
Adamhttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#adam
Second Order Optimization Methods — Newton's methodhttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#second-order-methods
Muon: an-optimizer-for-hidden-layers-in-neural-networkshttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#muon-an-optimizer-for-hidden-layers-in-neural-networks
Benchmarking Muon, Adam, RMSProp, and SGD on CIFAR-10 datasethttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#benchmarking-optimizers-on-cifar-10
More on Adam and AdamWhttps://github.com/VachanVY/NeuroForge?tab=readme-ov-file#more-on-adam-and-adamw-adam-with-weight-decay-optimizers
https://patch-diff.githubusercontent.com/VachanVY#reinforcement-learning
https://patch-diff.githubusercontent.com/VachanVY#algorithms-from-reinforcement-learning-an-introduction-by-andrew-barto-and-richard-s-sutton
Policy Iterationhttps://patch-diff.githubusercontent.com/VachanVY#policy-iteration
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/frozen_lake_policy_iteration.gif
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/frozen_slippery_lake_policy_iteration.gif
Value Iterationhttps://patch-diff.githubusercontent.com/VachanVY#value-iteration
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/Taxi-v3_value_iteration.gif
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/Taxi-v3_value_iteration1.gif
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/Taxi-v3_value_iteration2.gif
Monte Carlo Exploring Startshttps://patch-diff.githubusercontent.com/VachanVY#monte-carlo-exploring-starts
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/mc_blackjack_value_iteration1.gif
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/blackjack_actions.png
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/blackjack_qvals.png
Sarsahttps://patch-diff.githubusercontent.com/VachanVY#sarsa
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/cliff_walking_sarsa.gif
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/cliff_walking_gamma0.99_alpha0.1_epsilon0.1.png
Q-learninghttps://patch-diff.githubusercontent.com/VachanVY#q-learning
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/cliff_walking_qlearning.gif
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/cliff_walking_gamma0.99_alpha0.1_epsilon0.1.png
Expected Sarsahttps://patch-diff.githubusercontent.com/VachanVY#expected-sarsa
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/cliff_walking_expected_sarsa.gif
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/cliff_walking_gamma0.99_alpha0.1_epsilon0.1.png
Double Q-learninghttps://patch-diff.githubusercontent.com/VachanVY#double-q-learning
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/cliff_walking_double_qlearning.gif
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/cliff_walking_gamma0.99_alpha0.1_epsilon0.1.png
Dyna-Qhttps://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/shortcut_maze_before_Dyna-Q_with_25_planning_steps.gif
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/shortcut_maze_after_Dyna-Q_with_25_planning_steps.gif
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/dyna_q_num_planning_steps_zoomed.png
Prioritized Sweepinghttps://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/shortcut_maze_prioritized_sweeping_maze_env.gif
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/prioritized_sweeping_maze_env_num_training_curves.png
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/prioritized_sweeping_maze_env_sum_rewards.png
Monte-Carlo Policy-Gradienthttps://patch-diff.githubusercontent.com/VachanVY#monte-carlo-policy-gradient
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/actor_critic_cartpole.gif
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/monte_carlo_policy_gradient_cartpole_train_graph.png
One-Step Actor-Critichttps://patch-diff.githubusercontent.com/VachanVY#one-step-actor-critic
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/actor_critic_cartpole.gif
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/actor_critic_cartpole_rewards.png
https://patch-diff.githubusercontent.com/VachanVY#deep-reinforcement-learning-paper-implementations
Playing Atari with Deep Reinforcement Learninghttps://patch-diff.githubusercontent.com/VachanVY
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/dqn_pong.gif
https://patch-diff.githubusercontent.com/VachanVY/VachanVY/blob/main/images/loss_dqn.png
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