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A high-accuracy image segmentation tool using the U-2-Net deep learning model for background removal.
A Python tutorial on Bayesian modeling techniques using the PyMC3 library.
A Chrome extension that uses Meta's Segment Anything Model to extract and copy objects from images.
A comprehensive reading list for machine translation research maintained by Tsinghua University NLP Group.
R-CNN: Regions with Convolutional Neural Network Features, a MATLAB library for object detection using deep learning.
An open-source large language model for Chinese and English, with over 100 billion parameters.
A framework for generating realistic human images using a Liquid Warping GAN with Attention.
Bare-bones examples of machine learning in TensorFlow for developers working with AI tools.
An implementation of the 'A Neural Algorithm of Artistic Style' paper, a tool for artists and creative coders.
A neural network trained to play the classic game of Snake using a genetic algorithm.
A powerful open-source scientific computing environment for JavaScript with GPU acceleration, TeX support, and data visualization.
A high-quality open-source PyTorch implementation of the WaveNet vocoder, a neural network for speech synthesis.
A ChatGPT-powered shader generator for Unity that allows developers to create and customize shaders using natural language.
A simple BiLSTM-CRF model for named entity recognition in Chinese text, built using TensorFlow.
Tacotron-2 is a state-of-the-art text-to-speech model that vibe coders can use to build speech synthesis applications.
Tangent is a Python library for source-to-source debuggable automatic differentiation.
A high-level machine learning and deep learning library for the PHP language.
A repository containing a visual explanation of the TensorFlow source code for developers.
A Python library for applying artistic styles to images using neural networks.
A deep learning-based speech recognition library built on TensorFlow for developers working with AI-powered audio apps.
This repository contains code for a paper on automatic image colorization using joint learning of global and local image priors.
A Python implementation of DragGAN, an interactive point-based tool for manipulating generative image models.
A collection of TensorFlow tutorial code examples for learning deep learning from beginner to advanced.
Keras Temporal Convolutional Network (TCN) library for building deep learning models with temporal dependencies.
PyTorch implementation of Contrastive Learning methods for AI and machine learning research.
A Svelte-based web interface for the OpenAI ChatGPT API, allowing developers to quickly build ChatGPT-powered applications.
A curated list of papers related to neural networks and machine learning, useful for AI and ML developers.
Official Azure Machine Learning examples, tested with GitHub Actions, for data science and ML projects.
A powerful open-source chatbot framework that lets you build your own ChatGPT-like bots for various platforms.
An open-source project that provides in-depth analysis of the source code and algorithms behind Spark's ML library.
This is a tutorial on using deep learning for natural language processing with PyTorch.
A PyTorch library for calculating the Structural Similarity Index (SSIM) loss for image analysis and processing tasks.
A robust, TypeScript-friendly face detection and recognition library for Node.js projects.
This is an implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks.
This repository provides Jupyter notebooks for learning about Bayesian methods for machine learning.
A dynamically typed scripting language written in Rust for vibe coders and AI-powered development.
Open-source implementation of the Mask Scoring R-CNN model for instance segmentation and object detection.
A collection of optimized TensorFlow binaries with SIMD instructions for improved performance.
Cross-modal lip reading using 3D convolutional neural networks for speech recognition.
A PyTorch implementation of accurate 3D face reconstruction from single images or image sets.
Conditional Transformer Language Model for Controllable Text Generation
An open-source toolbox for action understanding based on PyTorch, focused on computer vision and video analysis.
This is a minimal machine learning study plan for developers interested in learning ML concepts and techniques.
An open-source library for tracking the state of the art and recent results in speech recognition research.
A powerful WYSIWYG interface for creating Machine Learning models without writing code.
A Python library that uses neural networks to build an automatic number plate recognition system.
A Python library for building AI-powered chatbots and conversational agents.
A robust, all-in-one GPT interface for Discord with chatbot, image generation, moderation, and more
Chinese Named Entity Recognition (NER) library using Lattice LSTM model, built for AI/ML developers.
A low-precision matrix multiplication library for performance-critical AI and machine learning applications.
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