Trending Projects

A LangChain-based framework for end-to-end natural language to data insight conversion, with MCP Skills multi-agent architecture.

A reinforcement learning agent trained in a diffusion world model for AI research and development.

A Swift-based macOS app that provides access to the community's best AI chat models.

Official Azure Machine Learning examples, tested with GitHub Actions, for data science and ML projects.

A single-stage general-purpose object detection library written in Python.

A powerful open-source chatbot framework that lets you build your own ChatGPT-like bots for various platforms.

A high-performance 3D rendering library for ray tracing and hybrid rasterization of Gaussian particles.

Official PyTorch implementation for a novel method to visualize classifications by Transformer based networks.

A high-performance C++ library for upscaling anime videos using AI-powered super-resolution techniques.

A lightweight 3D Morphable Face Model library in modern C++ for computer vision and image processing.

A C++ SQLite extension that provides efficient vector search capabilities using the Faiss library.

A faster alternative to ts-node that doesn't require type checking, optimized for AI-focused developers.

A collection of examples and demos for the Transformers.js library, which brings powerful AI models to JavaScript.

Classiq Library is the largest open-source collection of quantum algorithms and applications for exploring quantum computing.

A programming competition focused on coding with AI tools and technologies.

A comprehensive wiki and guide for integrating Stable Diffusion AI generation tools into developer workflows.

A library of machine learning methods for chemistry research, built by Facebook's AI research team.

A photorealistic synthetic dataset for holistic indoor scene understanding using machine learning.

A Python library for analysis and design of feedback control systems, useful for AI/ML developers.

Instructions for setting up a deep learning development environment on your machine.

Open-source Chinese LLM models developed from Meta's LLaMA, for use in NLP and AI applications.

The Virtual Feature Store that turns existing data infrastructure into a feature store for machine learning.

An open-source text-to-speech tool supporting long-form text and multi-voice narration.

A computer vision library for training and deploying deep learning models, with support for popular datasets and tasks.

A deep learning-powered invoice processing platform built with Python, Flask, and Keras/TensorFlow.

An all-in-one solution for adding Temporal Stability to Stable Diffusion models using an Automatic1111 extension.

A curated list of deep learning applications in computational biology, useful for bioinformatics developers.

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

A Python-based library for 3D full-head synthesis in 360-degree images, focusing on computer vision and AI.

SAM is a PyTorch-based library that implements Sharpness-Aware Minimization, an optimization algorithm for training more robust deep learning models.

A LLM-powered platform that automatically converts documents into professional-looking PPT presentations.

A curated list of efficient and compressed large language models for developers to explore.

An open-source project that provides in-depth analysis of the source code and algorithms behind Spark's ML library.

Open-source code for a PixelCNN++ model, a powerful generative model for image generation.

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

Practical tutorials and labs for TensorFlow, covering popular neural network architectures like CNN, RNN, and more.

Open source Python module for computer vision tasks like object detection, feature extraction, and more.

A Python toolkit for building machine/deep learning models on partially-observed time series data

A Python library for physical symbolic optimization, combining deep learning and reinforcement learning.

An ECCV 2022 paper on long-term video object segmentation using an Atkinson-Shiffrin memory model.

QuestionAnsweringSystem is a Java-based question answering system that analyzes questions and provides candidate answers.

Pytorch implementations of various Bayesian neural network techniques for approximate inference and uncertainty quantification.

Deep learning model to analyze a large corpus of clear text passwords.

A Chinese translation of the book 'Approaching (Almost) Any Machine Learning Problem'.

This is a tutorial on using deep learning for natural language processing with PyTorch.

An automatic evaluator for instruction-following language models with human-validated, high-quality, cheap, and fast evaluation.

Named Entity Recognition (NER) library for Tensorflow, using LSTM + CRF for state-of-the-art performance.

cuTile is a programming model for writing parallel kernels for NVIDIA GPUs in Python.

A Python library for multi-object tracking using the DeepSORT algorithm.

Distributed GPU-accelerated framework for evolutionary computation and optimization algorithms.