Trending Projects

An interactive playground for exploring and experimenting with neural networks in the browser.

A guide to deploying deep-learning inference networks and computer vision primitives with NVIDIA Jetson hardware and TensorRT.

Flax is a flexible neural network library for JAX, designed for easy experimentation and research in machine learning.

Scalable neural forecasting algorithms for time-series data, with support for various deep learning models.

A Python library for easy and robust visual localization using deep learning and feature matching.

An open-source library implementing machine learning algorithms in R for data analysis and visualization.

NVIDIA GPU Operator manages GPUs in Kubernetes for developers building AI-powered applications.

An open-source Python library for building text-to-speech (TTS) applications using the Kokoro engine and ONNX runtime.

A GPU-accelerated SQL engine for Python, built on RAPIDS cuDF, for high-performance data processing and analysis.

A quickstart for building AI-powered applications using the OpenAI Assistants API and Next.js.

Official implementation of the PVT (Pyramid Vision Transformer) series, a backbone model for detection and segmentation tasks.

A powerful WYSIWYG interface for creating Machine Learning models without writing code.

PyTorch library for building semantic segmentation models for computer vision applications.

Tigramite is a Python library for causal inference and time series analysis with a focus on time series data.

A JavaScript library that provides a powerful geometric algebra generator for various languages.

Evaluate your LLM-powered apps with TypeScript, a library for vibe coders building AI tools.

A comprehensive collection of human pose estimation research papers and resources.

A modular framework for robot learning from demonstration, focusing on AI-powered robotics and robotic simulation.

A voice chat app built with Python that leverages AI-powered speech recognition and text-to-speech capabilities.

A framework for using LSTMs to detect anomalies in multivariate time series data for spacecraft missions.

A comprehensive resource for machine learning and deep learning research and enthusiasts.

A Chinese GPT2 project for generating news article titles with detailed annotations.

A fast and simple face swap extension node for the ComfyUI AI tool, built using Python.

A Python library for efficient online 3D bin packing using deep reinforcement learning and packing configuration trees.

A free and affordable virtual reality eye tracking platform for developers.

A lightweight Bayesian Marketing Mix Modeling (MMM) library for data scientists and marketers.

An implementation of the WaveNet generative model for fast audio generation using PyTorch.

Official inference library for Mistral models, a platform for building AI-powered applications.

A feature-rich GPT wrapper for Git that generates commit messages with an LLM in 1 second, supporting various providers and local models.

A curated list of awesome MLOps tools to help developers build, deploy, and monitor machine learning models

Collection of generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

A Python library for evaluating the capabilities of large language models trained on code.

A toolkit for creating, sharing, and using natural language prompts for machine learning tasks.

A Python tutorial on Bayesian modeling techniques using the PyMC3 library.

A machine learning repository for quantitative finance and asset management strategies.

This is a Jupyter Notebook repository for an open-source embodiment project from Google DeepMind.

Semantic search and document parsing tools for the command line, built with Rust.

A simple Python implementation of a GRPO-like LLM for reproducing r1-like thinking.

This is a combined repository for the RTX-Remix runtime and toolkit, focusing on path-tracing and RTX features.

A Python repository for experimenting with deep learning and computer vision using images of cats.

A PyTorch-based probabilistic time series forecasting framework with advanced models like DeepAR, LSTNet, and N-BEATS.

A tool that helps developers easily share ChatGPT Plus/Claude Pro services with their peers.

A C++ library for solving exercises in the book 'Probabilistic Robotics' for autonomous vehicle and robotics development.

A library for training sparse autoencoders on language models, potentially useful for vibe coders.

A collection of novel jailbreak methods for large language models (LLMs) focused on privacy and safety.

A Python package for causal inference in graphs and pairwise settings, with tools for graph structure recovery and dependencies.

An efficient 3D Gaussian splatting method for novel view synthesis from sparse multi-view images.

A general representation model for cross-modal learning across vision, audio, and language.

A Python library that extends the Segment Anything Model (SAM) to enable zero-shot video segmentation with point-based tracking.

PaddleDetection is an open-source object detection toolkit based on the PaddlePaddle deep learning framework, supporting various computer vision tasks.