Trending Projects

A scalable image generation model based on the Llama language model, outperforming diffusion models.

A spaCy pipeline and models for processing scientific/biomedical documents.

A project that provides a collection of pre-trained deep learning models for image classification tasks.

A library for training PyTorch models with differential privacy, enabling privacy-preserving machine learning.

Magma is a foundation model for building multimodal AI agents, enabling next-gen AI applications.

Official implementation of a decomposable multiscale mixing model for time series forecasting

A platform for designing and evaluating Graph Neural Networks (GNNs) using Python.

A Python library for finding big moving stocks using machine learning and anomaly detection.

A collection of coding examples using the GPT-5 language model for various AI-powered coding tasks.

Accelerate data curation and augmentation with this scalable, free tool for image and video analysis.

An open-source Python implementation for 3D multi-object tracking, with KITTI benchmarking and new evaluation metrics.

Absolute Zero Reasoner is a Python library for logical reasoning and inference on text data.

SCUDA is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.

An AI-powered image generation tool that allows users to create custom images using DALL-E 3.

Experimental spaced repetition platform for exploring ideas in memory augmentation and programmable attention

A suite of GIMP plugins for texture synthesis, inpainting, and style transfer.

This repository provides Jupyter Notebook examples to try out deep learning models online using Google Colab.

NeuS is a Python library for neural surface reconstruction, a key component in 3D computer vision.

Open-sourced projects from the Google AI Language team focused on machine learning and natural language processing.

Reference implementations of MLPerf® training benchmarks for evaluating machine learning performance.

R Interface to Python, allowing R developers to leverage Python's machine learning and AI capabilities.

A collection of code and resources for analyzing and predicting stock market behavior using deep learning and machine learning.

A TypeScript-based Electron app that uses large language models to translate subtitles between languages.

A memory-efficient library for training large language models (LLMs) using gradient low-rank projection.

A comprehensive and fair benchmark for time series forecasting methods, including deep learning and statistical techniques.

MLRun is an open-source MLOps platform for building and managing continuous ML applications.

An offline deep reinforcement learning library for Python developers working on AI-powered applications.

A comprehensive collection of machine learning interview questions and solutions for algorithm engineers.

ModernBERT brings the BERT language model into the modern era with architecture changes and scaling.

A computer vision and deep learning-based face mask detection system using OpenCV and TensorFlow/Keras.

A flexible voxel-based mapping library for robotics, focused on truncated and Euclidean signed distance fields.

A Python library for physics-based simulations involving cloth, solids, and rods, useful for vibe coders building AI-powered applications.

An ensemble sampling toolkit for affine-invariant Markov Chain Monte Carlo (MCMC) in Python.

Causal Discovery in Python, including independence tests and score functions for causal inference.

This is a C++ library for Simultaneous Localization and Mapping (SLAM) using Stereo Visual-Inertial Odometry (SVO).

EasyVolcap is a Python library that accelerates neural volumetric video research by providing a simple and efficient workflow.

A Python implementation of the NEAT neuroevolution algorithm for building AI-powered applications.

A high-performance GEMM library for deep learning inference on CPUs, developed by Facebook.

A Vision-and-Language Transformer model for multimodal tasks without the need for convolution or region supervision.

A curated collection of major GPT language models and related tools for developers to discover and use.

A Python library for 3D multi-person mesh recovery from monocular images.

An open-source large language model (LLM) for AI-powered coding and developer discovery tools.

ExtractThinker is a powerful document intelligence library for LLMs, offering flexible and intuitive workflows.

This is a Jupyter Notebook project focused on biological foundation modeling from molecular to genome scale.

Open-source PyTorch library for music source separation, useful for audio processing and ML workflows.

ColiVara is a high-performance document retrieval system that uses vision models instead of text processing.

An official implementation of HigherHRNet, a scale-aware human pose estimation model.

TornadoVM is a heterogeneous programming framework that enables developers to leverage GPUs and other accelerators for improved performance in Java applications.

Audio Spectrogram Transformer (AST) for audio classification and representation learning tasks.

Tools for building GPU clusters for machine learning and AI workloads