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High performance server-side application framework
Official Documentation for the Binance APIs and Streams
FUSE-based file system backed by Amazon S3
NumPy aware dynamic Python compiler using LLVM
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Official Documentation for the Binance Spot APIs and Streams
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
A playbook for systematically maximizing the performance of deep learning models.
Quant/Algorithm trading resources with an emphasis on Machine Learning
An opinionated list of awesome Python frameworks, libraries, software and resources.
Run TensorFlow models in C++ without installation and without Bazel
📈 A small, fast chart for time series, lines, areas, ohlc & bars
Performant arrays where each dimension can have a named axis with values
Julia type that implements a drop-in replacement of Array with named dimensions
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…
Asynchronous HTTP client/server framework for asyncio and Python
WebSocket and WAMP in Python for Twisted and asyncio
A curated list of awesome Machine Learning frameworks, libraries and software.
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
Probabilistic time series modeling in Python
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) H…
Code for the paper entitled "ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting"
A game theoretic approach to explain the output of any machine learning model.