47,133 repositories indexed
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Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
Statistical Machine Intelligence & Learning Engine
Uplift modeling and causal inference with machine learning algorithms
NVIDIA cuML: GPU-Accelerated Machine Learning
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
A Python implementation of LightFM, a hybrid recommendation algorithm.
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
modular quant framework.
Scalable and user friendly neural :brain: forecasting algorithms.
Quant/Algorithm trading resources with an emphasis on Machine Learning
Module for automatic summarization of text documents and HTML pages.
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
The machine learning toolkit for time series analysis in Python
StellarGraph - Machine Learning on Graphs
Quantitative analysis, strategies and backtests
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others.
Algorithms for explaining machine learning models
A modular active learning framework for Python
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.