High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
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Source code for Twitter's Recommendation Algorithm
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
A curated list of practical financial machine learning tools and applications.
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
Distributed Evolutionary Algorithms in Python
Uplift modeling and causal inference with machine learning algorithms
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
NVIDIA cuML: GPU-Accelerated Machine Learning
Dark Web OSINT Tool
A Python implementation of LightFM, a hybrid recommendation algorithm.
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
A collection of important graph embedding, classification and representation learning papers with implementations.
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
modular quant framework.
Scalable and user friendly neural :brain: forecasting algorithms.
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
Module for automatic summarization of text documents and HTML pages.
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
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