Trending Projects

RAFT-Stereo is a PyTorch library for training and evaluating stereo matching models.

A comprehensive list of Generative Adversarial Networks (GANs) for developers working with AI tools.

TensorFlow examples repository for developers interested in exploring machine learning and AI capabilities.

Rust language bindings for the TensorFlow machine learning library, enabling developers to build AI-powered applications in Rust.

A curated list of awesome compiler projects and papers for tensor computation and deep learning.

A PyTorch-based audio source separation toolkit for researchers and developers working on AI audio applications.

A Python library for fine-tuning and adapting Stable Diffusion models for AI-powered generative art and image creation.

A powerful modeling language for mathematical optimization problems in Julia, supporting linear, mixed-integer, conic, semidefinite, and nonlinear programming.

A Ruby library that provides a powerful set of tools for building LLM-powered applications.

This repository contains code for the MADDPG algorithm, a multi-agent actor-critic method for cooperative-competitive environments.

A C++ library that accelerates YOLOv8 object detection using NVIDIA's TensorRT framework.

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

A reference implementation of MLPerf inference benchmarks for machine learning performance testing.

An open-source marketing mix modeling library that uses AI/ML to democratize modeling knowledge and reduce human bias.

An open-source package that allows game creators, AI researchers and hobbyists to build complex behaviors for non-player characters or agents.

A pretrained model for detecting lewd images, part of Bumble's image moderation tools.

This repository provides an official implementation of a CVPR 2023 paper on handwriting generation using disentangled AI models.

A free online book that teaches machine learning from scratch using Jupyter Notebooks.

Real-time geopolitical threat mapping with AI-powered intelligence analysis and OSINT data visualization.

Jlama is a modern LLM inference engine for Java, enabling vibe coders to build AI-powered applications.

Efficient Region-Aware Neural Radiance Fields for high-fidelity talking portrait synthesis

A curated list of resources on large language models and foundation models for time series, spatiotemporal, and event data analysis.

FinRL Tutorials - a collection of Jupyter Notebooks for financial reinforcement learning.

A transformer-based model for neighborhood attention, useful for computer vision tasks.

A tightly coupled GNSS-Visual-Inertial system for smooth and consistent state estimation in complex environments.

A large multimodal multilingual dataset of image-text pairs from Wikipedia for machine learning research.

A JavaScript engine optimized for use in the Lynx platform, a developer discovery platform for vibe coders.

ChatDBG is an AI-powered debugging tool that uses GPT-3 to help developers understand why their code is behaving unexpectedly.

An open-source Java machine learning framework for rapid development of ML and statistical apps.

A curated collection of research papers and resources for natural language processing (NLP) practitioners.

A Python library for converting the Llama language model to ONNX format for faster inference.

A Java-based data insights platform for 'vibe coders' building with AI tools and frameworks.

A collection of Python notebooks with machine learning and deep learning examples using the Azure ML SDK.

Instruction Tuning with GPT-4, a library for fine-tuning large language models like GPT-4 for custom tasks.

GLIP is a pre-training approach for learning grounded language-image representations.

A simple and configurable grid world environment for reinforcement learning in Python.

A robust, real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state estimation and mapping package for 3D mapping and reconstruction.

An extensible deep learning library that leverages JAX for high-performance ML research and production use cases.

A PyTorch implementation of various continual learning methods for AI/ML developers.

PyTorch implementation of Poincaré Embeddings for learning hierarchical representations.

MarS is a financial market simulation engine powered by a generative foundation model, enabling developers to build AI-driven fintech applications.

A library of pre-trained LSTM models for optical character recognition (OCR) tasks.

Implementation of an alternative to backpropagation for training neural networks using PyTorch.

A simple and efficient alternative to Retrieval-Augmented Generation (RAG) models for large language models.

An open-source library for constructing vectorized high-definition maps for autonomous driving in real-time

A C++ implementation of Halcon's shape-based matching algorithm for computer vision applications.

An efficient diffusion model for image super-resolution, with applications in AI-powered image processing.

A flexible and powerful monitoring system for vibe coders to monitor their AI-powered applications.

A curated collection of must-read papers for Data Science, Machine Learning, and Deep Learning enthusiasts

A StarCraft II multi-agent reinforcement learning benchmark for developing AI agents.