Trending Projects

A deep learning toolkit for medical image analysis, supporting a variety of neural network models and medical imaging tasks.

This repository contains a dataset and code for a study on using large language models for freelance software engineering.

Personae is a repo for implementing and experimenting with Deep Reinforcement Learning and Supervised Learning for Quantitative Trading.

An open-source platform for medical image analysis and image-guided therapy research using deep learning.

A Keras implementation of the DeepLab v3+ model with pretrained weights for semantic segmentation tasks.

A Python library for segmenting retinal blood vessels using a convolutional neural network.

An efficient and accurate face detection library built with C++ and the NCNN framework.

A Python library for training deep learning models on OpenStreetMap data and satellite imagery.

speak.js is a text-to-speech library for JavaScript that uses the eSpeak speech synthesis engine.

Official repository for the Mish activation function, a novel neural network activation function.

Instant-NGP in PyTorch+CUDA with PyTorch Lightning for high-quality, high-speed 3D reconstruction and novel view synthesis.

A JavaScript library for building voice-controlled web applications using speech recognition and synthesis.

This is a dynamic multilevel Bayesian model for predicting US presidential elections, written in R and Stan.

A curated collection of resources for ChatTTS, including free demos, voice samples, and more for vibe coders.

PaddleViT is a state-of-the-art Visual Transformer and MLP model library for the PaddlePaddle 2.0+ deep learning framework.

A PyTorch library for implementing the SRGAN super-resolution model, useful for vibe coders working on AI-driven image processing.

A novel approach to model and reconstruct radiance fields for 3D rendering and reconstruction.

FeatherCNN is a high-performance inference engine for convolutional neural networks.

GCNet is a deep learning library for computer vision tasks like instance segmentation and object detection.

A template for deploying a Keras-based image classifier web app using Flask in 10 minutes.

A high-performance entity linking solution for linking mentions to their corresponding entities in text.

A Python library that implements statistical learning methods from the book 'Statistical Learning Methods' by Li Hang.

Open-source COVID-19 detection tool using chest radiography images and deep learning models.

A Python framework for building and training neural networks using the Theano library.

An open-source machine learning framework for developers to build AI-powered applications.

A comprehensive survey of GAN inversion techniques, a powerful method for manipulating and editing AI-generated images.

A fast, general, and tested differentiable structured prediction library for PyTorch.

A state-of-the-art AI text-to-GIF model for developers building with AI tools and Stable Diffusion XL.

A comprehensive introduction to deep learning using TensorFlow, covering a range of AI and machine learning topics.

EleutherAI/math-lm is a Python library for training and using large language models for mathematical tasks.

A Python library for real-time anomaly detection and alerting on time-series data.

A Python repository focused on natural language processing (NLP) tools and techniques.

Caffe2 is a lightweight, scalable deep learning framework for building and deploying AI models.

CodeGeeX2 is a powerful multilingual code generation model for AI-powered coding tools and workflows.

Open Machine Intelligence Framework for Hackers, built in Rust, focused on AI/ML tools and libraries.

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

Collection of popular generative models in TensorFlow for developers interested in AI tools

A Tensorflow implementation of CapsNet, a novel neural network architecture for image classification.

A pre-built binary for running TensorFlow on Windows for developers working with AI tools.

A compiler for neural network hardware accelerators, focusing on performance and efficiency.

Organized resources for deep learning researchers and developers, including tutorials, frameworks, and libraries.

LDA2Vec is a Python library for topic modeling and word embeddings, useful for vibe coders building AI-powered applications.

A neural network visualization toolkit for the Keras deep learning framework.

An efficient, neural-network-free 3D radiance field renderer for virtual view synthesis and reconstruction.

A Chinese OCR (Optical Character Recognition) library built using CTPN, DenseNet, and CTC.

An open-source deep learning tutorial using the PaddlePaddle framework, suitable for developers interested in AI tools.

YAD2K is a Python library that provides a Keras-based implementation of the YOLO (You Only Look Once) object detection model.

Easy benchmarking of publicly available convolutional neural network implementations.

A fast, easy, and collaborative open-source image annotation tool for teams and individuals.

Deeplearning4j is a deep learning library for Java and Scala, with examples for building AI/ML applications.