Trending Projects

A Swift app demonstrating Core ML Stable Diffusion, a popular AI-powered image generation tool.

Elegant PyTorch implementation of the Model-Agnostic Meta-Learning (MAML) paper for AI/ML developers.

An open-source platform for evaluating and improving Generative AI applications with 20+ preconfigured checks and root cause analysis.

A curated list of resources for generating JSON using large language models and function calling.

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

Web-based tool for labeling bitmap images and point cloud data for semantic segmentation ML models.

An open-source Python implementation for 3D multi-object tracking, with KITTI benchmarking and new evaluation metrics.

An editor for spoken-word audio with automatic transcription, focused on the needs of vibe coders.

An open-source Python library for optimizing and merging machine learning models using evolutionary algorithms.

An academic alternative to Tesla's occupancy network for autonomous driving, built with Python.

Zero-shot image restoration using a denoising diffusion model that can remove various types of noise and artifacts.

Implement AlphaZero/AlphaGo Zero methods for Chinese chess using Python and deep learning.

A framework for prototyping full-stack cooperative driving automation applications using CARLA and SUMO.

A math OCR model that outputs LaTeX and Markdown, useful for vibe coders working with AI tools.

An open-source platform for building and deploying ML pipelines with a focus on MLOps

A comprehensive library of text classification models and techniques built with deep learning.

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.

Unofficial implementation of the LaneNet model for real-time lane detection in self-driving car applications.

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

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

A PyTorch implementation of accurate 3D face reconstruction from single images or image sets.

A powerful text-to-image diffusion model that can be used for recaptioning, planning, and generating with multimodal LLMs.

AIdea is a powerful app that supports GPT, Chinese language models, Stable Diffusion, and various AI features.

Community-curated list of startups working with AI in audio and music technology.

Survival analysis library for Python, built on top of scikit-learn, for developers working with machine learning.

A Python library for estimating the 6D object pose using dense fusion of RGB and depth data.

A tool for building prompts for Danbooru and NovelAI image generation, leveraging TypeScript and Vue.js.

A collection of deep learning-based image and video colorization papers for developers interested in computer vision.

This repository contains code examples for Stanford's TensorFlow for Deep Learning Research course.

SPADE is a Python library for semantic image synthesis, enabling high-quality generation of images from semantic segmentation maps.

A collection of Jupyter Notebook-based courses for learning AI and machine learning tools and techniques.

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

Pytorch implementation of various deep reinforcement learning algorithms for vibe coders.

Transform ML models into native code (Java, C, Python, Go, etc.) with zero dependencies

A high-level machine learning and deep learning library for the PHP language.

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

A collection of PyTorch tutorials from a YouTube channel, focusing on machine learning and deep learning.

A C# library that provides a realtime interface to the Automatic1111 Stable Diffusion API for AI-powered image generation.

A repository focused on natural language processing, knowledge graphs, and conversational AI research and applications.

A curated list of resources for meta-learning, including papers, code, books, and more for developers working with AI tools.

A video restoration transformer for deblurring, denoising, and super-resolution of videos.

A knowledge graph-based question answering system for medical diagnosis using Python.

This is a developer tool focused on creating and analyzing 'malodorous' digital proofs and arguments.

This repository provides hands-on examples and guidance for building, training, deploying and maintaining deep learning models in production.

Graphein is a Python library for building and analyzing protein interaction graphs for drug discovery and computational biology.

A PyTorch library for image synthesis and editing using stochastic differential equations.

A Jupyter Notebook for visualizing 3D object detection and LiDAR point clouds from the KITTI dataset.

An open-source toolkit for urban spatial-temporal data mining and traffic prediction tasks.

A Python tool that allows you to easily convert text to video using AI-powered text-to-speech and image generation.

A PyTorch library with pre-trained convolutional networks for various computer vision tasks.