umbertov's starred repositories
kucoin_arbitrage
KuCoin Cyclic Arbitrage, using Event-Driven Async Rust
cryptofeed
Cryptocurrency Exchange Websocket Data Feed Handler
arbitrage_research
Jupyter Notebook examples on how to use the ArbitrageLab - pairs trading - python library.
fast-trade
low code backtesting library utilizing pandas and technical analysis indicators
AnimateAnyone
Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation
chatgpt_system_prompt
A collection of GPT system prompts and various prompt injection/leaking knowledge.
latent-consistency-model
Run Latent Consistency Models on your Mac
stable-diffusion-webui
Stable Diffusion web UI
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.
supervised-compression
[WACV 2022] "Supervised Compression for Resource-Constrained Edge Computing Systems"
L3C-PyTorch
PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"
Image-Compression
Learned Block-based Hybrid Image Compression Paper Implementation
Learning-baed-image-compression
collection of papers of end-to-end learned image compression
Checkerboard-Context-Model-for-Efficient-Learned-Image-Compression
Unofficial pytorch implementation of CVPR2021 paper "Checkerboard Context Model for Efficient Learned Image Compression".
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.
lightning-maml
MAML Implementation using Pytorch-lightning
uniswap-arbitrage-analysis
Uniswap arbitrage problem analysis
flashloaner-contract
This repo introduces a simple example of how to arbitrage trade on-chain using flash loans.
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!
tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
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.
DLAI-s2-2021
Teaching material for the course of Deep Learning and Applied AI, 2nd semester 2021, Sapienza University of Rome