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Fast and memory-efficient exact attention
llama3 implementation one matrix multiplication at a time
Accelerate, Optimize performance with streamlined training and serving options with JAX.
Scalable and user friendly neural 🧠 forecasting algorithms.
Lightning ⚡️ fast forecasting with statistical and econometric models.
NeuralProphet: A simple forecasting package
Algorithmic Trading in Python with Machine Learning
[ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
Stock Indicators for Python. Maintained by @LeeDongGeon1996
talipp - incremental technical analysis library for python
Python AutoML for Trading Systems and Sports Betting
ffn - a financial function library for Python
Python framework for TradingView's Lightweight Charts JavaScript library.
quantitative trading with Javascript, Python, C++, PineScript, Blockly, MyLanguage(麦语言)
Investment Research for Everyone, Everywhere.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
A high-performance algorithmic trading platform and event-driven backtester
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
PyTorch extensions for high performance and large scale training.
Scenic: A Jax Library for Computer Vision Research and Beyond
最优雅的跨平台代理客户端，支持Shadowsocks(R)，V2Ray和Trojan协议。The most elegant cross-platform proxy GUI client that supports Shadowsocks(R), V2Ray, and Trojan. Built with Qt5 and QML2.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
[ICCV 2021] Code for approximated exponential maximum pooling
Best Practices, code samples, and documentation for Computer Vision.
Collection of common code that's shared among different research projects in FAIR computer vision team.