Yawen Duan's repositories
Logistic-Regression-on-MNIST-with-NumPy-from-Scratch
Implementing Logistic Regression on MNIST dataset from scratch
TransNASBench
This repository contains the publishable code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizability of Cross-Task Neural Architecture Search.
DQN_Family_PyTorch
This is a repository of DQN and its variants implementation in PyTorch based on the original papar.
Neural-Network-on-MNIST-with-NumPy-from-Scratch
Implement and train a neural network from scratch in Python for the MNIST dataset (no PyTorch).
MNIST-with-CNN-from-Scratch
Implement and train a CNN from scratch in Python for the MNIST dataset (no PyTorch).
TensorFlow-Core
This is the learning notes and mini projects by TensorFlow learning based on "TensorFlow 1.x Deep Learning Cookbook" by Antonio Gulli & Amita Kapoor.
Causality4NLP_Papers
A reading list for papers on causality for natural language processing (NLP)
CIFAR10-Classifier-CNN-in-PyTorch
Implement and train a CNN classifier in PyTorch for the CIFAR10 dataset
dm_control
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
flow
Computational framework for reinforcement learning in traffic control
hh-rlhf
Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"
KataGo
GTP engine and self-play learning in Go
Key-Paper-Summary-in-DRL
This repository contains the summaries of around 100 key papers on deep reinforcement learning listed in on OpenAI Spinning Up.
Minigrid
Simple and easily configurable grid world environments for reinforcement learning
MLMI
MPhil Machine Learning and Machine Intelligence @ University of Cambridge
mphil-intro-module
Jupyter notebooks on inference, regression and classification for MPhil students
OpenAI_DeepRL_Spinning_Up
This is a repository of study materials, implementation codes and notes on OpenAI Spinning Up in Deep Reinforcement Learning.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers