Vijayue's Stars
fab-jul/imgcomp-cvpr
TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018
Justin-Tan/generative-compression
TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression
geekan/HowToLiveLonger
程序员延寿指南 | A programmer's guide to live longer
dingkeyan93/DISTS
IQA: Deep Image Structure and Texture Similarity Metric
lucidrains/video-diffusion-pytorch
Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch
phizaz/diffae
Official implementation of Diffusion Autoencoders
luc-leonard/pytorch-diffusion-autoencoder
WIP: Unnoficial implementation of diffusion autoencoders, using pytorch
openai/improved-diffusion
Release for Improved Denoising Diffusion Probabilistic Models
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
acids-ircam/diffusion_models
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
udacity/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
google-deepmind/acme
A library of reinforcement learning components and agents
Hramchenko/diffusion_editor
🚀 PyTorch Implementation of "Diffusion Autoencoders: Toward a Meaningful and Decodable Representation"
jychoi118/ilvr_adm
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models (ICCV 2021 Oral)
lucidrains/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
hojonathanho/diffusion
Denoising Diffusion Probabilistic Models
angusturner/diffuse
PyTorch implementation of diffusion models.
binance/binance-futures-connector-python
Simple python connector to Binance Futures API
kirinchen/binance-api-proxy
openai/guided-diffusion
werner-duvaud/muzero-general
MuZero
dair-ai/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
AI4Finance-Foundation/ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
iSarmad/RL-GAN-Net
Official Repository of CVPR 2019 Paper : RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion
rail-berkeley/rlkit
Collection of reinforcement learning algorithms
KamyarGh/rl_swiss
Ericonaldo/ILSwiss
ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (template) in PyTorch.
smartbh/CryptoAutoTrade
가상화폐 자동 매매 프로그램
MaciejSzelest/Cryptocurrency-bot-Binance---API-
Hello, I would like to present you my first cryptocurrency bot, with the use of websocket price information and indicators from ta-lib module. Everything is linked to Binance cryptocurrency exchange. If you would like to use it, please remember to open your Binance account and create your own Api key. At the beginning project is based on simple RSI indicator, there is ongoing development work, so it might change in the future. Python module used: websocket, json, pprint, numpy, talib, binance.client, binance.enums. Remember, you use it at your own risk! Do not invest money which you can't afford to lose.