yawen-d Goto Github PK

academic-website

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

cifar100-resnet-pytorch

dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

dmc2gym

OpenAI Gym wrapper for the DeepMind Control Suite

dqn_family_pytorch

This is a repository of DQN and its variants implementation in PyTorch based on the original papar.

flow

Computational framework for reinforcement learning in traffic control

generative_adversarial_networks-in-pytorch

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.

logistic-regression-explained

logistic-regression-on-mnist-with-numpy-from-scratch

Implementing Logistic Regression on MNIST dataset from scratch

minigrid

Simple and easily configurable grid world environments for reinforcement learning

mlmi

MPhil Machine Learning and Machine Intelligence @ University of Cambridge

mnist-with-cnn-from-scratch

Implement and train a CNN from scratch in Python for the MNIST dataset (no PyTorch).

mphil-intro-module

Jupyter notebooks on inference, regression and classification for MPhil students

neural-network-on-mnist-with-numpy-from-scratch

Implement and train a neural network from scratch in Python for the MNIST dataset (no PyTorch).

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

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.

transnasbench

This repository contains the publishable code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizability of Cross-Task Neural Architecture Search.