Trending Projects

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

A deep learning-based interest network that discovers and connects developers with similar interests and coding styles.

A PyTorch-based toolkit for knowledge distillation in natural language processing tasks.

An end-to-end library for editing and rendering motion of 3D characters using deep learning

A deep learning library for time series classification, useful for AI developers working with sensor and time-based data.

A C++ library for GPU computing using OpenCL, providing performance-oriented parallel computing capabilities.

Examples of using sparse attention, a technique for efficient Transformer-based sequence modeling.

A C# client for the ChatGPT API, built with the Avalonia UI framework for cross-platform usage.

A Graph Neural Network Library in Jax for building AI-powered graph-based applications.

SimpleRecon is a 3D reconstruction library that uses a novel approach without 3D convolutions, optimized for computer vision tasks.

A Go-based implementation of the Llama language model, a popular open-source alternative to GPT-3.

Code for an efficient channel attention module for deep convolutional neural networks.

An implementation of a pose-guided text-to-video generation model using the LAION Pose Dataset.

A curated list of articles that cover software engineering best practices for building machine learning applications.

A Python library for 3D human avatar reconstruction from videos using self-supervised scene decomposition.

A Python library for detecting and analyzing comparisons to ChatGPT in text, with a corpus of human-written comparisons.

PyTorch implementation of the MoCo v3 unsupervised learning algorithm for feature representation.

PyTorch implementation of the Asynchronous Advantage Actor Critic (A3C) algorithm for deep reinforcement learning.

A Python toolbox for building interpretable machine learning models and diagnostics.

A Python library that provides dynamic thresholding (CFG scale fix) for Stable Diffusion AI models.

SincNet is a neural architecture for efficiently processing raw audio samples for speech and audio processing tasks.

Curated repository of papers and resources on multi-camera 3D object detection and segmentation in bird's-eye-view.

An open-source Python library for building gesture recognition models using Convolutional Neural Networks (CNN) and computer vision.

A repository containing artwork created with the Phimp.me AI-powered photo editing tool.

A free, API-less web UI for interacting with GPT-3.5 and GPT-4 language models.

Sacred is a tool to help configure, organize, log, and reproduce experiments for machine learning research.

A JavaScript library for finding paths in a graph data structure, useful for AI-powered tools and apps.

A TensorRT extension for the Stable Diffusion Web UI, optimizing AI-powered image generation.

This repository provides a neural collaborative filtering library for building recommender systems.

A C++ library for GPU computing patterns and behaviors, suitable for high-performance computing applications.

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

An all-in-one LLMs chat UI for Apple Silicon Macs using the MLX framework, built with Python.

This project uses reinforcement learning to train an AI agent to learn stock trading strategies.

A curated collection of datasets, papers, and books on the intersection of AI and finance.

A collection of GPT models and resources for developers interested in AI-powered coding tools and platforms.

Tensor Algebra Compiler (taco) is a C++ library for computing sparse tensor expressions on CPUs and GPUs.

An AI framework for games based on the libGDX library, featuring steering behaviors, pathfinding, and more.

PyTorch implementation and explanation of popular graph representation learning papers.

A PyTorch implementation of a Scene Graph Generation method, with visualization and extraction capabilities.

Active learning library for training machine learning models more efficiently.

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

Code for a CVPR2021 paper on coordinate attention, a technique for improving neural network performance.

A beginner's guide to machine learning and image classification with neural networks in Python.

AI-powered stock analysis tool with multi-source LLM support, sentiment analysis, and local data processing

A differentiable architecture search library for convolutional and recurrent neural networks

Simple PyTorch tutorial repository for learning deep learning from the basics to advanced topics.

A high-quality neural network-based 3D generative model for producing realistic images of faces and objects.

A comprehensive resource for learning machine learning and deep learning using Python and popular libraries.

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

An open-source project for end-to-end recovery of human shape and pose from images.