Trending Projects

A collection of cool computer vision, learning, and graphics papers focused on cats.

A Python library that converts words into images, useful for AI-powered image generation and visualization.

A collection of resources for developers interested in data-centric AI approaches and techniques.

A lightweight C++ library for using Keras (TensorFlow) models in edge computing and embedded applications.

A Python API wrapper for Poe.com, providing free access to GPT-4, Claude, Llama, and other AI models.

A fast and robust feature matching library for computer vision tasks like SfM and SLAM.

A starter agent that can solve a number of OpenAI Universe environments, useful for AI and ML developers.

Automatically generate programs using AI and genetic algorithms, with tutorials and examples.

A high-quality image upscaler plugin for the Stable Diffusion WebUI, powered by AI technology.

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

A MATLAB library for deep photo style transfer, enabling developers to apply artistic styles to photos.

Production infrastructure for running machine learning models at scale

An open-source Jupyter Notebook project for generating images with AI-powered Disco Diffusion models.

Plugin for Stable Diffusion WebUI that optimizes large image generation through tiled diffusion and VAE techniques.

A Python library for easily training text-generating neural networks on any text dataset.

A Python library that enables high-quality background removal for images and videos using deep learning.

Infrastructure components for cost-efficient GenAI model inference and deployment

A Rust framework for blazingly fast inference of ML models using zero-knowledge proofs.

A curated list of the latest AI breakthroughs in 2022 with explanatory videos, articles, and code.

Example TensorFlow codes and a TensorFlow as a Service dev environment for AI/ML developers.

Corrects OCR errors via LLM post-processing, smart chunking & markdown formatting for PDFs

A Python library for inspecting and explaining machine learning models and their predictions.

A suite of tools for implementing, training, and testing semantic segmentation models in TensorFlow.

A high-performance, low-resource, multilingual LLM inference library for developers building AI-powered applications.

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

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification.

A JavaScript tutorial on building a streaming platform control system using eye and hand detection.

Jupyter notebooks for learning and using the Keras deep learning library

A collection of TensorFlow tutorial code examples for learning deep learning from beginner to advanced.

A TypeScript library that accelerates the execution of deep neural networks in web browsers, optimized for AI-powered web apps.

This is a minimal machine learning study plan for developers interested in learning ML concepts and techniques.

A comprehensive collection of OpenCV 4.0 tutorials with Python, suitable for developers working with computer vision.

A 1st place solution for a Kaggle competition on improving product search relevance using NLP.

A curated collection of articles and resources on search, recommendation, and natural language processing.

A PyTorch implementation of a paper on artistic style transfer for videos.

A collection of novel deep learning research works using the PaddlePaddle framework for computer vision, NLP, and more.

An open-source tool to give users more control over their smart assistants using custom wake words and voice commands.

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 guide to learn about Transformer models, a foundational architecture for natural language processing.

A TensorFlow/Keras implementation of the Stable Diffusion AI model for text-to-image generation.

A tutorial on using scikit-learn and IPython for parallel machine learning tasks.

Kernl is a library that lets you run PyTorch transformer models several times faster on GPU with a single line of code.

A lightweight parameter server interface for distributed machine learning applications.

A simple PyTorch implementation of Generative Adversarial Networks (GANs) for vibe coders exploring AI-powered generative models.

A PyTorch implementation of OpenAI's pre-trained transformer language model for fine-tuning and inference.

A Python library for interacting with the Wit.ai natural language processing API

A pix2pix demo that learns from facial landmarks and translates this into a face, useful for AI-powered face generation.

A Python library for working with token embeddings from large language models (LLMs).

Evaluation code for various unsupervised automated metrics for Natural Language Generation.