Trending Projects

gnark is a fast zk-SNARK library with a high-level API to design circuits for zero-knowledge applications.

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

A Julia framework for acausal modeling, symbolic math, and parallelized scientific machine learning.

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

Brevitas is a PyTorch library for neural network quantization, enabling efficient hardware acceleration on FPGAs and other devices.

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

A graph convolutional network for text classification, useful for NLP tasks and AI-powered applications.

A collection of high-quality, single-file implementations of state-of-the-art offline and offline-to-online reinforcement learning algorithms.

A curated list of the most impressive AI research papers for developers interested in cutting-edge AI.

A modular framework for building neural networks with Euclidean symmetry in Python.

A C++ library that provides optimized YOLO object detection models for deployment on NVIDIA Jetson platforms.

A Python library for spatio-temporal graph convolutional networks, a type of graph neural network for modeling graph-structured data.

A Python library for converting JSON annotations into YOLO format for object detection.

A Raspberry Pi guitar pedal that uses neural networks to emulate real amps and effects.

A Jupyter Notebook project that leverages OpenAI and ChatGPT to perform hacking-related tasks.

Active learning library for training machine learning models more efficiently.

A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search and OpenAI for chat and Q&A.

A PyTorch library for calculating the Frechet Inception Distance (FID) with proper image resizing and quantization steps.

Neural Network Compression Framework for enhanced OpenVINO™ inference

A comprehensive collection of Transformer models for natural language processing tasks

A Python package for causal inference in quasi-experimental settings

A research repository focused on tabular deep learning, providing papers and Python packages.

A Blender addon that integrates Stable Diffusion for generating textures and images within Blender.

NVIDIA's new open-source repository collection for the Cosmos platform, focused on AI tools and workflows.

A PyTorch tutorial providing practical code examples for model training and related tasks.

A JavaScript repository that provides countdown timers for AI conference deadlines, useful for vibe coders.

Simple examples to introduce the PyTorch machine learning library for Python developers.

An open-source toolbox for text detection, recognition, and understanding tasks powered by PyTorch.

A Python library that implements Graph Attention Networks, a powerful neural network architecture for graph-structured data.

An educational AI robot based on NVIDIA Jetson Nano, useful for learning about robotics and AI.

Cohere Toolkit is a collection of prebuilt components for quickly building and deploying RAG applications.

An open-source project for tracking and segmenting any objects in videos using AI models like SAM and AOT.

A PyTorch implementation of a fast and accurate 3D face alignment model for computer vision applications.

Enables PyTorch, a popular machine learning library, to run on XLA devices like Google TPUs.

A PyTorch library for Karras et al. (2022) diffusion models, useful for AI-powered coding tools.

A collection of AI-related notes and resources for developers working with AI tools and technologies.

A Python library that allows developers to control a web browser using GPT-3, enabling AI-powered browser automation.

A curated list of deep learning resources, including topics like CNN, LSTM, and TensorFlow.

A PyTorch library for training state-of-the-art multimodal multi-task models at scale.

JVector is an advanced embedded vector search engine written in Java, optimized for similarity search and machine learning applications.

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

A high-level deep learning framework written in Kotlin and inspired by Keras.

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

A curated list of recent Transformer-based computer vision papers and implementations.

A tool suite for texture and 3D model compression, optimization, and analysis using CPUs, GPUs, and APUs.

An AI-powered tool for generating highly dynamic and realistic portrait image animations from video inputs.

Code samples from a popular book on neural networks for natural language processing (NLP).

A collection of papers on diffusion models for 3D generation, useful for developers working on AI-powered 3D content creation.

A Flutter plugin that provides access to Google's standalone ML Kit for mobile app development.

A repository with a Chinese dialogue dataset and fine-tuning code for the ChatGLM language model.