Trending Projects

A diffusion-based video generation model for trajectory-oriented video synthesis.

A teleoperation system with immersive active visual feedback for robotic applications.

A powerful and easy-to-use toolkit for implementing various computer vision tasks on Android, including text recognition, barcode scanning, image labeling, face detection, and object detection.

Neural Network Compression Framework for enhanced OpenVINO™ inference

Lightweight implementation of conformal prediction, a method for uncertainty estimation in machine learning.

A free resource for developers to dive into machine learning with Python and Jupyter Notebook.

A generative model for creating music, implemented in Python with PyTorch.

Collection of Deep Learning projects and exercises for Udacity's Deep Learning Nanodegree program

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

A curated collection of papers and resources related to various aspects of face recognition technology.

A curated list of machine learning resources in Chinese, including frameworks, libraries, and software.

A fast and accurate object detection method with new technologies like NAS backbones and efficient RepGFPN.

A comprehensive multimodal system for long-term streaming video and audio interactions using large language models.

Efficient neural feature detector and descriptor for computer vision tasks.

A library for differentiable nonlinear optimization, useful for computer vision and robotics tasks.

A library for training PyTorch models with differential privacy, enabling privacy-preserving machine learning.

A developer-focused platform for text-to-speech, RAG, and LLMs, with local-first architecture.

A powerful universal image segmentation model that can handle various segmentation tasks with a single transformer-based model.

A curated list of Machine Learning, AI, and NLP solutions for iOS development.

Advanced toolkit for medical image registration, segmentation, and processing, with a focus on neuroimaging.

3D Procedural Game Engine Using OpenGL for building procedural environments, terrains, and games.

A comprehensive collection of resources and examples related to chatbots and conversational AI applications.

A versatile diffusion model for text, image, and variation generation in a single model.

An AI-powered web app and API that analyzes basketball shots and shooting poses.

A multimodal framework for drug discovery and therapeutic science research.

This Jupyter Notebook series covers the fundamentals of NLP and Computer Vision, leading to cutting-edge Vision-Language Models.

This GitHub repository provides machine learning and data science blueprints for the finance domain.

Official PyTorch implementation of a prompt-based distillation method for on-device deployment of the Segment Anything Model (SAM).

Official implementation of a fashion image-to-video synthesis model using Stable Diffusion.

Provides AI-powered tools and samples for developers to build cutting-edge applications with Microsoft AI.

A toolkit for multi-domain Chinese word segmentation, useful for NLP applications.

A library of NLP algorithms and utilities for text classification, generation, extraction, and more using the Transformers library.

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

A Python library for ensembling object detection models using the Weighted Boxes Fusion (WBF) method.

Assignments for a deep reinforcement learning course, focused on AI and machine learning

An open-vocabulary video segmentation model that can track any object in a video, for video editing and processing.

Moonlight Documentation, a resource for developers building with AI tools and technologies.

Example deep learning projects that demonstrate wandb's features for AI and machine learning development.

This is a research project on reinforcement learning on Android devices, not a vibe-coder tool.

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

AIDE is an AI-driven machine learning engineering agent that automates AI R&D tasks for developers.

A TensorFlow implementation of Neural Turing Machines, a class of models that can learn algorithms.

An open-source library for contrastive representation distillation, a knowledge distillation technique.

A tool for predicting the accuracy of Deep Neural Networks, focused on AI coding tools.

A repository containing solutions to exercises from the machine learning book by Zhou Zhihua.

Official implementation of a controllable character video synthesis model using spatial decomposed modeling.

A Chinese Named Entity Recognition (NER) library built with PyTorch and TensorFlow

Unified-Modal Speech-Text Pre-Training for Spoken Language Processing

A Pytorch-based RNN model for anomaly detection in time-series data.

ezkl is a Rust-based engine for doing inference on deep learning models and computational graphs in zero-knowledge.