Trending Projects

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

Efficient PyTorch practices for training large datasets

A C++ library for 3D mapping and segmentation, potentially useful for robotics and computer vision applications.

A book on using the Julia programming language for statistics and machine learning tasks.

An optimized PyTorch extension for efficient sparse matrix operations with autograd support.

PyTorch course and tutorials for developers interested in learning and applying AI/ML tools.

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

A collection of chapter summaries for the Deep Learning Book, making it easier to understand.

A Python library for working with nested data structures, useful for developers building AI-powered applications.

FastPhotoStyle is a Python library for fast photorealistic style transfer using deep learning.

A comprehensive Tensorflow 2.0 tutorial and learning resource for developers.

A deep learning library for generating and manipulating images, including semantic style transfer.

Facets is a set of data visualization tools for machine learning datasets, helping developers explore and understand their data.

Multi-agent framework for building specialized AI agents with personalities and distinct roles for various tasks.

Official code for Stable Cascade, a framework for building AI-powered applications and services.

This GitHub repository provides a comprehensive collection of TensorFlow 2.x tutorials and examples for AI/ML developers.

A deep learning course platform focused on the fastai library and PyTorch for vibe coders and AI enthusiasts.

A Python library for reading Wikipedia to answer open-domain questions, focused on natural language processing and machine learning.

Python library for AI-powered video restoration, removing pixelation and mosaic artifacts

JAX library for computer vision research with transformers, attention mechanisms, and vision models

OpenCV-based Python library for building autonomous RC cars with neural networks.

A Python library that lets you train your own ChatGPT-like chatbot with a single GPU in just hours.

A private web application built using the ChatGPT 3.5 API, enabling developers to leverage AI-powered tools.

A TensorFlow-based implementation of Mask R-CNN, a popular deep learning object detection and instance segmentation model.

C++ implementation of large language models ChatGLM-6B, ChatGLM2-6B, ChatGLM3 and GLM4(V) for natural language processing.

A distributed graph deep learning framework for building graph-based AI models and applications.

High-performance vector graph neural network database in Rust for real-time AI inference and graph ML.

Official Python SDK for Claude API—LLM wrapper for building AI apps with Anthropic's models

Swift SDK for OpenAI API integration with type-safe wrappers and modern concurrency support.

A simple and easy-to-use TensorFlow cookbook for developers working with AI tools.

This repository contains the CVPR 2021 conference papers, which may be of interest to computer vision and AI developers.

A Keras implementation of CapsNet, a deep learning model for image classification.

Dual Attention Network for Scene Segmentation, a computer vision model for image segmentation.

A Keras implementation of BERT for feature extraction and prediction tasks.

3D Gaussian splatting studio for photorealistic NeRF rendering and computer vision.

An open-source large language model for Chinese and English, with over 100 billion parameters.

Deep Learning toolkit for Computer Vision with advanced object detection and recognition capabilities.

An implementation of the 'A Neural Algorithm of Artistic Style' paper, a tool for artists and creative coders.

A repository containing a visual explanation of the TensorFlow source code for developers.

A Tensorflow-based library for super-resolution image processing using subpixel convolution networks.

Reference implementations of popular deep learning models for training and inference.

An all-in-one solution for adding Temporal Stability to Stable Diffusion models using an Automatic1111 extension.

NCRF++: A Neural Sequence Labeling Toolkit for tasks like NER, POS tagging, and text chunking.

A TensorFlow template application for building deep learning models and deploying them to production.

An open-source YOLO object detection library for training custom models on any dataset, with various backend support.

Autonomous agent framework that learns and adapts to user preferences for autonomous task execution.

A deep learning-based face landmark detection library for real-time Android applications.

A pre-trained Chinese XLNet model for natural language processing tasks.

A series of code large language models developed by PKU-KCL for AI-powered coding and developer tooling.

A Python library for creating AI-generated artwork using Stable Diffusion models.