Trending Projects

ItsAbot is a Go-based framework that makes it easy to build your own digital assistant with AI tools.

Deep learning library for Apache Spark that provides high-level APIs and models for building machine learning pipelines.

QuestionAnsweringSystem is a Java-based question answering system that analyzes questions and provides candidate answers.

Ergonomic machine learning library for Python developers, focused on ease of use and accessibility.

A Python library that helps prevent CUDA out of memory errors in PyTorch models with just 1 line of code.

A fast and efficient implementation of the WaveNet model for speech synthesis in Python.

PyTorch library for building semantic segmentation models for computer vision applications.

An open-source Python library for building AI-powered chatbot retrieval systems using OpenAI's GPT-3 model.

A PyTorch implementation of the YOLOv4 object detection model with support for various attention mechanisms and mobile models.

A Python tool that generates videos for a YouTube learning channel focused on AI coding tools and workflows.

An in-place activated BatchNorm implementation for memory-optimized training of deep neural networks.

A global, black box optimization engine for real-world metric optimization.

This is an open-source implementation of the deep forest machine learning algorithm for ensemble learning.

Real-time object recognition app built with TensorFlow and OpenCV for computer vision tasks.

Caffe implementation of Google's MobileNets (v1 and v2) for image classification and computer vision tasks.

A Python framework to transform natural language questions into database query language.

Classification models trained on ImageNet, for use in computer vision and image classification tasks.

A tool that uses machine learning models to generate prompts for AI image generation apps like Midjourney and Stable Diffusion.

A Jupyter Notebook library for applying data augmentation techniques to improve object detection models.

A collection of hacks and techniques for training reinforcement learning systems from a Deep RL Bootcamp lecture.

Sample Node.js application for the IBM Watson Speech to Text service

Codebase for a paper on efficient large-scale deep learning systems using smart algorithms over hardware acceleration.

A fast, scalable library for Factorization Machines, a powerful machine learning model for recommendation systems.

Tools for causal analysis, helping developers understand and model causal relationships in their data.

An unofficial Python package that provides a simple interface to interact with Google's Bard AI chatbot.

A Python library that uses machine learning to bypass the latest version of the ReCaptcha verification system with 91% accuracy.

This GitHub repository contains code samples and examples for the Machine Learning with TensorFlow book, covering a wide range of machine learning topics.

A high-performance deep learning framework for training and deploying neural networks on various hardware.

Auto-GPT is a framework for creating AI-powered plugins to extend the capabilities of the Auto-GPT AI assistant.

A Chinese translation of the latest official TensorFlow documentation for machine learning developers.

TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.

A model library for exploring state-of-the-art deep learning techniques for optimizing NLP neural networks.

A distributed machine learning toolkit from Microsoft for building scalable AI and ML models.

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

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

A hand detection library for building computer vision applications using neural networks and TensorFlow.

A pre-trained Chinese language model for text generation, useful for AI-powered coding and content creation.

A self-driving MarioKart game built with TensorFlow, a powerful machine learning library.

A collection of NLP tutorials covering sentiment analysis, text classification, and neural machine translation.

A Python library for video recognition using deep feature flow and other computer vision techniques.

A deep neural text understanding framework for ranking and classification tasks in NLP.

Guidance for training an AWS DeepRacer model using Amazon SageMaker, providing developers full control over the process.

A mirror of ChatGPT based on the GPT-3.5-Turbo model, allowing developers to interact with and build upon the ChatGPT functionality.

House3D is a realistic and rich 3D environment for AI and robotics research and development.

An implementation of the CycleGAN generative adversarial network using the TensorFlow library.

Code for a blog post outlining five video classification methods using Keras and TensorFlow.

GPU-accelerated deep learning library in Python for building and training neural networks.

Tez is a lightweight PyTorch training library with utilities for common deep learning tasks.

A TensorFlow-based text-to-speech model for vibe coders interested in AI-powered voice applications.

SlimYOLOv3 is a narrower, faster and better object detection model for real-time applications on UAVs.