machine-learning

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

Python Streaming DataFrames for Kafka

21st century AD

A Data Streaming Library for Efficient Neural Network Training

AI for GNU Image Manipulation Program

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

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

fklearn: Functional Machine Learning

An easy-to-use federated learning platform

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

An agentic Machine Learning Engineer

List of papers studying machine learning through the lens of category theory

:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

VS Code Jupyter extension

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

Generate Diverse Counterfactual Explanations for any machine learning model.

A curated list of Best Artificial Intelligence Resources

Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch

Computations and statistics on manifolds with geometric structures.

Chat with your favourite LLaMA models in a native macOS app

Multi-class confusion matrix library in Python

AIDE: an LLM agent for machine learning engineering - the research Weco grew out of. Referenced in OpenAI MLE-bench.

A Python Library for Graph Outlier Detection (Anomaly Detection)

OpenMMLab Foundational Library for Training Deep Learning Models

moDel Agnostic Language for Exploration and eXplanation

A curated list of awesome links and software libraries that are useful for robots.

High Performance Computation for N-D Tensors in .NET, similar API to NumPy.

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.