umbertov

umbertov's Stars

• AUTOMATIC1111/stable-diffusion-webui

  Stable Diffusion web UI

  Language:Python146k1.1k7.7k27.3k

• HumanAIGC/AnimateAnyone

  Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

  14.6k67394981

• LouisShark/chatgpt_system_prompt

  A collection of GPT system prompts and various prompt injection/leaking knowledge.

  Language:HTML8.5k9291.2k

• jesse-ai/jesse

  An advanced crypto trading bot written in Python

  Language:JavaScript5.9k182116764

• tensortrade-org/tensortrade

  An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

  Language:Python4.6k2442471k

• bmoscon/cryptofeed

  Cryptocurrency Exchange Websocket Data Feed Handler

  Language:Python2.3k78505695

• ccyanxyz/uniswap-arbitrage-analysis

  Uniswap arbitrage problem analysis

  Language:Python1.9k3516590

• barter-rs/barter-rs

  Open-source Rust framework for building event-driven live-trading & backtesting systems

  Language:Rust1.1k3349170

• caoscott/SReC

  PyTorch Implementation of "Lossless Image Compression through Super-Resolution"

  Language:Python1k251493

• pedrobergamini/flashloaner-contract

  This repo introduces a simple example of how to arbitrage trade on-chain using flash loans.

  Language:Solidity531245306

• fab-jul/L3C-PyTorch

  PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"

  Language:Python399113059

• Elenchev/order-book-heatmap

  OrderBook Heatmap visualizes the limit order book, compares resting limit orders and shows a time & sales log with live market data streamed directly from the Binance WS API. This was a short exploratory project. Keep in mind that a lot of work is needed for this to work in all market conditions.

  Language:JavaScript39814395

• jrmeier/fast-trade

  low code backtesting library utilizing pandas and technical analysis indicators

  Language:Python3898742

• sachink2010/AutomatedStockTrading-DeepQ-Learning

  Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

  Language:Jupyter Notebook26418679

• fab-jul/torchac

  Entropy coding / arithmetic coding for PyTorch

  Language:Python2414912

• replicate/latent-consistency-model

  Run Latent Consistency Models on your Mac

  Language:Python19410913

• researchmm/FTVSR

  [ECCV'22] FTVSR: Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution

  Language:Python16353113

• kanekoshoyu/kucoin_arbitrage

  KuCoin Cyclic Arbitrage, using Event-Driven Async Rust

  Language:Rust134131716

• hudson-and-thames/arbitrage_research

  Jupyter Notebook examples on how to use the ArbitrageLab - pairs trading - python library.

  Language:Jupyter Notebook936049

• StephanAkkerman/tensortrade-extras

  Discover a curated list of projects complementing TensorTrade, distinct from those mentioned in its official documentation. Contributions are welcome; if you spot a missing project, please submit a pull request!

  716012

• LiuLei95/PyTorch-Learned-Image-Compression-with-GMM-and-Attention

  This repo is implementation for Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules in pytorch.

  Language:Python662173

• JiangWeibeta/Checkerboard-Context-Model-for-Efficient-Learned-Image-Compression

  Unofficial pytorch implementation of CVPR2021 paper "Checkerboard Context Model for Efficient Learned Image Compression".

  Language:Python60212

• erodola/DLAI-s2-2021

  Teaching material for the course of Deep Learning and Applied AI, 2nd semester 2021, Sapienza University of Rome

  Language:Jupyter Notebook3515245

• aaron-makowski/tensortrade

  An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

  Language:Python33409

• yoshitomo-matsubara/supervised-compression

  [WACV 2022] "Supervised Compression for Resource-Constrained Edge Computing Systems"

  Language:Python31312

• sshkhr/imaml

  Reproduction of the IMAML paper

  Language:Python25336

• rcmalli/lightning-maml

  MAML Implementation using Pytorch-lightning

  Language:Python21235

• raeudigerRaeffi/generalizedReedSolomon

  Python Implementation of A Class of Generalized RS-Codes with Faster Encoding and Decoding Algorithms

  Language:Python13223

• sherlockyy/Learning-baed-image-compression

  collection of papers of end-to-end learned image compression

  5100

• KyleLiuSi5/Image-Compression

  Learned Block-based Hybrid Image Compression Paper Implementation

  Language:Python4110