A curated list of awesome AI tools for game developers

Advanced Python Programming, Second Edition, published by Packt

An implementation of EWC with PyTorch

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

Uniform Manifold Approximation and Projection

计算机自学指南

A curated list of reinforcement learning with human feedback resources (continually updated)

2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

Differentiable Top-k Classification Learning

A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

中文的C++ Template的教学指南。与知名书籍C++ Templates不同，该系列教程将C++ Templates作为一门图灵完备的语言来讲授，以求帮助读者对Meta-Programming融会贯通。(正在施工中)

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

C++ 资源大全中文版，标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等。由「开源前哨」和「CPP开发者」微信公号团队维护更新。

这是北京大学在coursera上开设的「程序设计与算法」专项课程

A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...

To classify trades into buyer- and seller-initiated.

Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al., 2020), etc.

A comprehensive bundle of utilities for the estimation of probability of informed trading models: original PIN in Easley and O'Hara (1992) and Easley et al. (1996); Multilayer PIN (MPIN) in Ersan (…

Python implementation of Benford's Law tests.

Time series aggregation module (tsam). Determines typical operation periods or dereases the temporal resolution. Accelerates model or experiment runs.

Policy learning via doubly robust empirical welfare maximization over trees

Policy tree optimization: Heuristic policy search for control of dynamic systems. Uses genetic programming to develop binary trees relating observed indicator variables to actions, either real-valu…

Limit Order Book for high-frequency trading (HFT), as described by WK Selph, implemented in Python3 and C

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

Mathematical derivation and pure Python code implementation of machine learning algorithms.

机器学习算法的公式推导以及numpy实现

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Data stream analytics: Implement online learning methods to address concept drift and model drift in dynamic data streams. Code for the paper entitled "A Multi-Stage Automated Online Network Data S…