Trending Projects

A Chinese Natural Language Toolkit for various NLP tasks written in Python.

This repository provides a model pruning technique for the YOLOv3 object detection model on the Oxford Hand dataset.

Distributed deep learning library for Keras and Spark, enabling scalable training of neural networks.

This repository provides a dual LSTM encoder model for generating dialog responses using machine learning.

A Python implementation of the neural algorithm for artistic style transfer.

An unofficial Python wrapper for the OpenAI ChatGPT API, enabling developers to integrate ChatGPT functionality into their applications.

A translation of Andrew Ng's book 'Machine Learning Yearning' for developers interested in machine learning.

Overview of modern deep learning techniques applied to natural language processing

This is a Netflix-maintained open-source library, but the description and purpose are unclear.

Deep learning models to automatically correct errors in short, message-like text.

This Python repository contains code examples for machine learning, NLP, and deep learning using Keras and Theano

A PyTorch library for building Single Headed Attention RNNs, a novel type of neural network for AI applications.

Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms.

A vehicle detection project using machine learning and computer vision for self-driving cars.

A Python library for semi-supervised learning, focused on improving model performance with limited labeled data.

End-to-end Chinese license plate recognition using MXNet, a machine learning framework.

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

Framework for routing LLM requests to optimize costs while maintaining response quality

A simplified interface for TensorFlow that mimics Scikit Learn for building deep learning models.

A local chatbot fine-tuned by bilibili user comments, built with Python.

Deep learning model for extracting & analyzing table structures from PDFs and images with datasets.

A library for running Caffe models in TensorFlow, enabling developers to leverage existing Caffe models in their TensorFlow-based projects.

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

A library for building dynamic computation graphs in TensorFlow for deep learning applications.

Implementation of recent deep learning papers in Python for developers interested in cutting-edge AI research.

A collection of deep learning tutorials in Jupyter Notebooks for developers interested in AI tools.

This GitHub repository contains notes on the Deep Learning book, a valuable resource for developers interested in AI and machine learning.

This repository provides fine-tuning code for the ChatGLM 6B language model and the Alpaca model, enabling developers to customize these AI models for their own use cases.

This Java-based repository provides a modular architecture for developers building AI-powered applications.

Sample code for a TensorFlow tutorial on deep learning without a PhD

deeppy is a Python library for deep learning with a focus on simplicity and ease of use.

Interactive, node-by-node debugging and visualization for TensorFlow, a popular ML framework.

A tool for converting TensorFlow models to the CoreML format for deployment on Apple devices.

A platform for developing AI systems as described in the Roadmap towards Machine Intelligence paper.

A fast, flexible, and fun neural networks library for Python developers working with AI tools.

A Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation

This is a deep Q learning demonstration using Google's TensorFlow library for AI and machine learning.

A blog for developers interested in using AI tools and technologies in their projects.

A simple feed-forward neural network library in JavaScript for building AI models.

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

An AI-powered image super-resolution library that enhances low-quality images using deep learning techniques.

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

A Torch implementation of DeepMask and SharpMask, deep learning algorithms for instance segmentation.

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

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

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