Trending Projects

A high-performance C++ library for fast nearest neighbor search using locality-sensitive hashing (LSH) algorithms.

A research project for Mesh R-CNN, a deep learning model for 3D object detection and segmentation.

A curated list of free data science and machine learning resources for developers.

A lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for machine learning.

Tools to train a generative model on arbitrary audio samples for vibe coders focused on AI tools.

A Theano-based implementation of Deep Q-learning, a reinforcement learning algorithm.

An open-source OCR engine developed by SYSU DeepDriving Lab, focused on computer vision tasks.

A text classifier library that uses Hierarchical Attention Networks for document classification.

A convertor/conversion tool for deep learning models across various deep learning frameworks/software.

Official Python SDK for ElevenLabs text-to-speech API with voice synthesis & audio generation.

A Python library that enables creating web demos using OpenAI's GPT-3 API with just a few lines of code.

A PyTorch optimizer that adapts the learning rate to reduce the variance of gradients, improving training performance.

Benchmarks for popular CNN models, useful for developers working on computer vision and deep learning projects.

A Python library for testing and breaking 12306 (Chinese railway) image captchas.

Texar is a toolkit for machine learning, NLP, and text generation in TensorFlow, part of the CASL project.

A PyTorch implementation of a deep learning-based video inpainting algorithm.

A deep learning-based speech recognition library built on TensorFlow for developers working with AI-powered audio apps.

A PyTorch-based codebase for image classification research, useful for AI/ML developers.

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

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

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

An open-source library for tracking the state of the art and recent results in speech recognition research.

A Python library that uses neural networks to build an automatic number plate recognition system.

Real-time multi-person tracking using YOLO v3 and deep_sort with TensorFlow for computer vision applications.

Automated machine learning for analytics & production use cases powered by popular ML libraries.

A Jupyter Notebook project that generates images from text, focused on the Russian language.

A tool to generate generative NFT art projects using JavaScript.

A TensorFlow implementation of Deep Reinforcement Learning algorithms and papers.

A PyTorch implementation of YOLOv2, a fast and accurate object detection model.

Official implementation of a composable, controllable, and creative image synthesis model.

Converts Apple's NeuralHash model for CSAM detection to ONNX format for reverse engineering and analysis.

SUSI Skypebot is a JavaScript library that allows developers to create AI-powered chatbots for Skype.

An artwork repository for the Jugaadfest developer conference focused on AI and coding tools.

An R library for using the TensorFlow machine learning framework, enabling vibe coders to build AI-powered applications.

A comprehensive guide to tackle text summarization using machine learning and natural language processing.

Official repository for the Mish activation function, a novel neural network activation function.

A repository containing documents used by the TensorFlow developer community.

An awesome PyTorch library for building NeRF (Neural Radiance Fields) models.

Solution for the Data Science Bowl 2017 competition, focused on AI-powered coding and tools.

Lab materials for a course on building end-to-end deep learning applications

Sockeye is a PyTorch-based sequence-to-sequence framework for neural machine translation tasks.

A composable GAN framework with API and user interface for building generative AI models.

A Python library that implements statistical learning methods from the book 'Statistical Learning Methods' by Li Hang.

A powerful named entity recognition tool for building AI-powered applications in Python.

A tutorial showing how to set up TensorFlow's Object Detection API on the Raspberry Pi for computer vision projects.

Dromedary is a framework for building helpful, ethical, and reliable large language models (LLMs).

A curated collection of image-to-image translation papers and their corresponding code.

A Chinese natural language processing library for information extraction tasks.

Efficient architectures for interactive conditional GANs, useful for image-to-image translation tasks.

Read Pilot is an AI-powered tool that analyzes articles and generates Q&A cards, built with Next.js and OpenAI.