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Title: VachanVY (Vachan) · GitHub

Open Graph Title: VachanVY - Overview

X Title: VachanVY - Overview

Description: | Deep Learning | Compilers |. VachanVY has 20 repositories available. Follow their code on GitHub.

Open Graph Description: | Deep Learning | Compilers |. VachanVY has 20 repositories available. Follow their code on GitHub.

X Description: | Deep Learning | Compilers |. VachanVY has 20 repositories available. Follow their code on GitHub.

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

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Domain: github.com

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og:imagehttps://avatars.githubusercontent.com/u/109357590?v=4?s=400
og:image:alt| Deep Learning | Compilers |. VachanVY has 20 repositories available. Follow their code on GitHub.
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VachanVYhttps://github.com/VachanVY/VachanVY
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nanocchttps://github.com/VachanVY/nanocc
https://github.com/VachanVY#nanocc
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https://github.com/VachanVY#nanocc-progress
https://github.com/VachanVY#ir-optimizations
https://github.com/VachanVY#extern-and-static
NeuroForgehttps://github.com/VachanVY/NeuroForge
https://github.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://github.com/VachanVY#reinforcement-learning
https://github.com/VachanVY#algorithms-from-reinforcement-learning-an-introduction-by-andrew-barto-and-richard-s-sutton
Policy Iterationhttps://github.com/VachanVY#policy-iteration
https://github.com/VachanVY/VachanVY/blob/main/images/frozen_lake_policy_iteration.gif
https://github.com/VachanVY/VachanVY/blob/main/images/frozen_slippery_lake_policy_iteration.gif
Value Iterationhttps://github.com/VachanVY#value-iteration
https://github.com/VachanVY/VachanVY/blob/main/images/Taxi-v3_value_iteration.gif
https://github.com/VachanVY/VachanVY/blob/main/images/Taxi-v3_value_iteration1.gif
https://github.com/VachanVY/VachanVY/blob/main/images/Taxi-v3_value_iteration2.gif
Monte Carlo Exploring Startshttps://github.com/VachanVY#monte-carlo-exploring-starts
https://github.com/VachanVY/VachanVY/blob/main/images/mc_blackjack_value_iteration1.gif
https://github.com/VachanVY/VachanVY/blob/main/images/blackjack_actions.png
https://github.com/VachanVY/VachanVY/blob/main/images/blackjack_qvals.png
Sarsahttps://github.com/VachanVY#sarsa
https://github.com/VachanVY/VachanVY/blob/main/images/cliff_walking_sarsa.gif
https://github.com/VachanVY/VachanVY/blob/main/images/cliff_walking_gamma0.99_alpha0.1_epsilon0.1.png
Q-learninghttps://github.com/VachanVY#q-learning
https://github.com/VachanVY/VachanVY/blob/main/images/cliff_walking_qlearning.gif
https://github.com/VachanVY/VachanVY/blob/main/images/cliff_walking_gamma0.99_alpha0.1_epsilon0.1.png
Expected Sarsahttps://github.com/VachanVY#expected-sarsa
https://github.com/VachanVY/VachanVY/blob/main/images/cliff_walking_expected_sarsa.gif
https://github.com/VachanVY/VachanVY/blob/main/images/cliff_walking_gamma0.99_alpha0.1_epsilon0.1.png
Double Q-learninghttps://github.com/VachanVY#double-q-learning
https://github.com/VachanVY/VachanVY/blob/main/images/cliff_walking_double_qlearning.gif
https://github.com/VachanVY/VachanVY/blob/main/images/cliff_walking_gamma0.99_alpha0.1_epsilon0.1.png
Dyna-Qhttps://github.com/VachanVY/VachanVY/blob/main
https://github.com/VachanVY/VachanVY/blob/main/images/shortcut_maze_before_Dyna-Q_with_25_planning_steps.gif
https://github.com/VachanVY/VachanVY/blob/main/images/shortcut_maze_after_Dyna-Q_with_25_planning_steps.gif
https://github.com/VachanVY/VachanVY/blob/main/images/dyna_q_num_planning_steps_zoomed.png
Prioritized Sweepinghttps://github.com/VachanVY/VachanVY/blob/main
https://github.com/VachanVY/VachanVY/blob/main/images/shortcut_maze_prioritized_sweeping_maze_env.gif
https://github.com/VachanVY/VachanVY/blob/main/images/prioritized_sweeping_maze_env_num_training_curves.png
https://github.com/VachanVY/VachanVY/blob/main/images/prioritized_sweeping_maze_env_sum_rewards.png
Monte-Carlo Policy-Gradienthttps://github.com/VachanVY#monte-carlo-policy-gradient
https://github.com/VachanVY/VachanVY/blob/main/images/actor_critic_cartpole.gif
https://github.com/VachanVY/VachanVY/blob/main/images/monte_carlo_policy_gradient_cartpole_train_graph.png
One-Step Actor-Critichttps://github.com/VachanVY#one-step-actor-critic
https://github.com/VachanVY/VachanVY/blob/main/images/actor_critic_cartpole.gif
https://github.com/VachanVY/VachanVY/blob/main/images/actor_critic_cartpole_rewards.png
https://github.com/VachanVY#deep-reinforcement-learning-paper-implementations
Playing Atari with Deep Reinforcement Learninghttps://github.com/VachanVY
https://github.com/VachanVY/VachanVY/blob/main/images/dqn_pong.gif
https://github.com/VachanVY/VachanVY/blob/main/images/loss_dqn.png
https://github.com/VachanVY/VachanVY/blob/main/images/Sum_of_Reward.svg
https://github.com/VachanVY/VachanVY/blob/main/images/Steps_per_Episode.svg
Deep Deterministic Policy Gradient (DDPG)https://github.com/VachanVY
https://github.com/VachanVY/VachanVY/blob/main/images/ddpg_pendulum.gif
https://github.com/VachanVY/VachanVY/blob/main/images/ddpg_on_Pendulum-v1.png
Proximal Policy Optimization (PPO) -- Discrete Action Spacehttps://github.com/VachanVY
https://github.com/VachanVY/VachanVY/blob/main/images/LunarLander-v3.gif
https://github.com/VachanVY/VachanVY/blob/main/images/LunarLander-v3_combined_plots.png
Proximal Policy Optimization (PPO) -- Continuous Action Spacehttps://github.com/VachanVY
https://github.com/VachanVY/VachanVY/blob/main/images/PPO_Continuous_Actions_HalfCheetah-v5_GAE.gif
https://github.com/VachanVY/VachanVY/blob/main/images/PPO_tensorboard_log_HalfCheetah-v5_sum_rewards.png
https://github.com/VachanVY/VachanVY/blob/main/images/PPO_HalfCheetah-v5_loss_charts_tensorboard.png
Soft Actor-Critic (SAC)https://github.com/VachanVY
https://github.com/VachanVY/VachanVY/blob/main/images/sac_adaptive_alpha_inverteddoublependulum-v5_.gif
https://github.com/VachanVY/VachanVY/blob/main/images/sac_rewards_adaptive_alpha_InvertedDoublePendulum-v5.png
nanocchttps://github.com/VachanVY/nanocc
5 https://github.com/VachanVY/nanocc/stargazers
Reinforcement-Learninghttps://github.com/VachanVY/Reinforcement-Learning
209 https://github.com/VachanVY/Reinforcement-Learning/stargazers
14 https://github.com/VachanVY/Reinforcement-Learning/forks
NeuroForgehttps://github.com/VachanVY/NeuroForge
10 https://github.com/VachanVY/NeuroForge/stargazers
EPIhttps://github.com/VachanVY/EPI
llvm-projecthttps://github.com/VachanVY/llvm-project
llvm/llvm-projecthttps://github.com/llvm/llvm-project
xv6-riscvhttps://github.com/VachanVY/xv6-riscv
mit-pdos/xv6-riscvhttps://github.com/mit-pdos/xv6-riscv
GitHub status pagehttps://www.githubstatus.com/
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