Pinned Repositories
565_finalproject
annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
CoDeC
[TMLR] CoDeC: Communication-Efficient Decentralized Continual Learning
Continual-Learning-Benchmark
Evaluate three types of task shifting with popular continual learning algorithms.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
GPM
Official Code Repository for "Gradient Projection Memory for Continual Learning"
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
Sakshi09Ch's Repositories
Sakshi09Ch/CoDeC
[TMLR] CoDeC: Communication-Efficient Decentralized Continual Learning
Sakshi09Ch/565_finalproject
Sakshi09Ch/annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Sakshi09Ch/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Sakshi09Ch/Continual-Learning-Benchmark
Evaluate three types of task shifting with popular continual learning algorithms.
Sakshi09Ch/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Sakshi09Ch/GPM
Official Code Repository for "Gradient Projection Memory for Continual Learning"
Sakshi09Ch/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms