Trending Projects

A PyTorch-based project for developing state-of-the-art speech recognition systems using the Kaldi toolkit.

A modern Prolog implementation written mostly in Rust for developers building AI-powered applications.

Run Mixtral-8x7B language models on Colab or consumer desktops with offloading capabilities.

This repository provides a tutorial and code for implementing the YOLO v3 object detection algorithm from scratch using PyTorch.

A dataset of annotated 3D object videos for training computer vision and augmented reality models.

A comprehensive compendium of resources for machine learning and deep learning development.

TFX is an end-to-end platform for deploying production ML pipelines.

ItsAbot is a Go-based framework that makes it easy to build your own digital assistant with AI tools.

A PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking.

A handwritten text recognition system implemented using TensorFlow for developers working with computer vision and OCR.

A Python library that uses AnimeGANv3 to convert photos or videos into anime-style art.

A PyTorch toolbox for advanced face recognition tasks like masked face recognition and fairness evaluation.

Elyra extends JupyterLab with an AI-centric approach for developing and deploying ML/AI pipelines.

Cambrian-1 is a multimodal LLM with a vision-centric design for building AI-powered chatbots and applications.

A PyTorch library for exploring deep and shallow knowledge distillation experiments with flexibility.

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

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

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

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

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

A Chinese prompt plugin for the Stable Diffusion WebUI, providing a library of prompts for AI-assisted image generation.

A Python library for working with large multi-modal models, focusing on image resolution and text labeling.

A tutorial on using large language models (LLMs) and vision language models (VLMs) for various AI-powered coding tasks.

A Python library for making stock predictions using machine learning and historical stock data.

Open-source large vocabulary continuous speech recognition engine for various applications.

A Python library that generates animated facial expressions from audio input, enabling AI-powered 3D face animation.

A collection of augmented reality (AR) development resources for vibe coders building with AI tools.

GPflow is a Gaussian processes library built on top of TensorFlow, providing tools for Bayesian machine learning.

A PyTorch-based deep learning framework for 2D/3D medical image segmentation.

A Python library that implements Hopfield Networks, a type of recurrent neural network useful for AI applications.

An open-source library for efficient diffusion models in computer vision, with potential AI coding tool applications.

A benchmarking tool for evaluating the performance of popular machine learning algorithms and libraries.

This is a PyTorch implementation of ArcFace, a deep learning-based face recognition algorithm.

A C++ library for 3D point cloud processing and visualization, with applications in self-driving cars and robotics.

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

Python bindings for Transformer models implemented in C/C++ using the GGML library.

Efficient AI model training on medical images using any deep learning framework.

A Python library for computing BERT-based text generation evaluation metrics.

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

A hybrid A* path planner for the KTH Research Concept Vehicle, focused on robotics and motion planning.

A Python library for visualizing the connections between chaos theory and fractals through the logistic map.

A flexible, intuitive and fast forecasting library for time series data analysis and prediction.

A comprehensive collection of OpenCV 4.0 tutorials with Python, suitable for developers working with computer vision.

A Kaggle competition solution for predicting web traffic using RNNs and time series analysis.

A Python guide to using pre-trained large language models (LLMs) for source code analysis and generation.

An open-source framework for advanced reasoning with large language models (LLMs) for AI-powered applications.

A general-purpose probabilistic programming system for building AI and ML applications.

A convolutional neural network model for video classification trained on the Kinetics dataset.

NVIDIA's cooperative primitives for CUDA C++ to simplify GPU programming.

A 3D object proposal generation and detection library from point cloud data, useful for computer vision.