RainyFields's Stars
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Visualize-ML/Book4_Power-of-Matrix
Book_4_《矩阵力量》 | 鸢尾花书:从加减乘除到机器学习;上架!
princeton-nlp/SimCSE
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
openai/retro
Retro Games in Gym
NeuromatchAcademy/course-content
NMA Computational Neuroscience course
chainer/chainerrl
ChainerRL is a deep reinforcement learning library built on top of Chainer.
matteocourthoud/awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
Tony-Y/pytorch_warmup
Learning Rate Warmup in PyTorch
khipu-ai/practicals-2019
Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.
gyyang/multitask
Code for Task representations in neural networks trained to perform many cognitive tasks
facebookresearch/dcd
Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.
SjulsonLab/methods_class
"Approaches to Study Neural Circuits" course
coolspiderghy/Computational_Psychiatry_online_Journal_Club
计算精神病学在线文献报告讨论会(Computational psychiatry online journal club(CPoJC))
google/cog
Code for the COG dataset and network
microsoft/segar
Sandbox environment for generalizable agent research
TU-Coding-Outreach-Group/cog_summer_workshops_2021
HealMaDe/Python-Solutions-to-75-Essential-leetcode-Problems
Python solutions with Concepts and Algorithms Explained
mila-iqia/mila-docs
Mila technical documentation
chung-neuroai-lab/cshl2022-deep-learning-manifolds-tutorial
gomerudo/nas-dmrl
Learning to reinforcement learn for Neural Architecture Search
BashivanLab/iWISDM
iWISDM: Assessing instruction following in multimodal models at scale