Machine Learning & Data Science

Hardware-aligned latent deliberation framework decoupling System 2 continuous reasoning from System 1 autoregressive decoding.

Abu quantitative trading system (stocks, options, futures, Bitcoin, machine learning), an open-source quantitative trading and investment framework based on Python.

My Python scripts to make high-quality figures for publications in top AI conferences and journals.

Learn it. Build it. Ship it for others.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Bindu: The identity, communication, and payments layer for AI agents.

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.

The Prometheus monitoring system and time series database.

The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

AI-driven IoT threat detection mesh — hand-written neural net trained live in the browser, visualized in 3D. No backend.

[NeurIPS 2026] DataFlex: A Unified Benchmark and Evaluation Platform for Data-Centric Training of Large Language Models

Fast and Accurate ML in 3 Lines of Code

The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

💫 Beautiful spinners for terminal, IPython and Jupyter

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

🙌 Welcome open-source Python mini-project contributions!

FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

Private AI infrastructure for medical and neuroscience research, operated in Canada: private LLMs, serverless models, JupyterLab and federated learning on the AI4OS stack.

Medical imaging processing for AI applications.

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Library to scrape and clean web pages to create massive datasets.

A high-performance communication library for machine learning training and inference on Huawei Ascend NPUs.

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-d

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on mobile, and inside Jupyter notebooks.

A fast, efficient universal vector embedding utility package.

An index of Quant-related resources in China.

Fast BM25 search in Python, powered by Numpy and Numba

242 evaluated academic Claude/agent skills across 18 research domains — bioinformatics, cheminformatics, data science, databases, clinical, social science, Turkish academia & more. Every skill ships an executable eval. Citation verifier, research→write→review pipeline, 7 multi-agent workflows. Claud

Scalable machine 🤖 learning for time series forecasting.

A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments.

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl M

Fizgig — LoRA & Fine-tune Studio for Klein 9B, Krea 2, MiniMax H3 & Qwen Image 2.1: train, fine-tune, profile, repair and extract LoRAs & LoKRs

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

Machine Learning project for predicting Delhi Air Quality Index (AQI) using Random Forest Regression.

From "Math Isn't Hard": the two-volume 《Linear Algebra Isn't Hard》, covering 66 topics; feedback is welcome.

Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

[ICLR 2025] CAMEx: Curvature-Aware Merging of Experts

EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine

PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.

A python library for data fusion

Master AI inference, AI agent harness systems, and hardware engineering — then design a physical AI chip. That is the goal.