Trending Projects

An all-in-one web UI for different audio-related neural networks, including text-to-speech, voice cloning, and generative music.

A diffusion-based video generation model for trajectory-oriented video synthesis.

A PyTorch implementation of the SimSiam self-supervised learning algorithm, useful for AI and ML developers.

Code for a paper on parameter-efficient fine-tuning of large language models using adapter modules.

A Python module for Dynamic Time Warping (DTW), a powerful technique for measuring similarity between time series data.

A collection of machine learning datasets used in tutorials on MachineLearningMastery.com.

A distributed Java game server with AI tools like state machine, behavior tree, A* pathfinding, and navigation mesh.

A platform for creating, using, and sharing ChatGPT prompts, focused on the vibe coder developer community.

SMAC3 is a versatile Bayesian optimization package for hyperparameter optimization in machine learning models.

Open-source PyTorch implementation of an end-to-end automatic speech recognition (ASR) system.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

An out-of-the-box library for extracting human parsing representations from images using deep learning.

High-performance multiple object tracking for computer vision and edge computing applications.

Example deep learning projects that demonstrate wandb's features for AI and machine learning development.

A 3D reconstruction library for creating realistic virtual humans with AI-powered normal integration.

A collection of pre-trained reinforcement learning agents with training and hyperparameter optimization tools.

A financial valuation model for Tesla, an excerpt from the ARK Invest research.

A high-performance super-resolution library for AI/ML developers, implemented with the ncnn deep learning framework and optimized for GPU acceleration.

HMTL is a state-of-the-art neural network model for several NLP tasks based on PyTorch and AllenNLP.

A PyTorch implementation of StyleGAN for domain adaptation, using pre-trained models to generate new images.

A PyTorch implementation of few-shot object detection benchmarks for AI and computer vision researchers.

A high-capacity image restoration model focused on privacy-safe dataset curation for AI-powered tooling.

A game-changing role-playing approach for LLMs and auto-agents like BabyAGI & AutoGPT, enabling collaborative task solving.

Automated Deep Learning without any human intervention, the first solution for the AutoDL challenge@NeurIPS.

Code for a deep learning-based instance segmentation model designed for real-time performance.

An open-source, end-to-end observability tool for LLM applications with real-time tracing, evaluations and metrics.

A GUI tool for the YOLOv8 object detection model built with PySide6.

English pronunciation correction tool built with the Gemini language model

Automated scripts to collect AI-related research papers for the MLNLP community

High-fidelity performance metrics for generative models in PyTorch

A general object foundation model for computer vision tasks in images and videos at scale

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

An open-source text-to-speech library built using Transformer-based neural networks for high-quality speech synthesis.

A high-quality lip sync tool using deep learning techniques like GFPGAN and Wav2Lip.

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

A comprehensive collection of deep learning paper reviews and code practices for AI developers.

A comprehensive resource for machine learning and deep learning research and enthusiasts.

A PyTorch-based library for running various YOLO object detection models using NVIDIA's TensorRT for improved performance.

This is a MATLAB library for detecting tiny faces in images using a scale-invariant face detector.

A powerful and easy-to-use toolkit for implementing various computer vision tasks on Android, including text recognition, barcode scanning, image labeling, face detection, and object detection.

A framework for composing and reasoning with large language models like GPT-4 for AI-powered applications.

ONNXMLTools enables conversion of machine learning models to the ONNX format, supporting Keras, Scikit-learn, and other frameworks.

A PyTorch library for calculating the Frechet Inception Distance (FID) with proper image resizing and quantization steps.

A library for studying the robustness of computer vision models to various corruptions and perturbations.

A tooling repository for the Common Objects In 3D dataset, focused on 3D object reconstruction and detection.

A neural network-based OCR library for JavaScript, useful for building document scanning and text extraction features.

A curated list of NLP resources focused on Transformer networks, attention mechanism, and large language models.

A Python-based GUI tool for generating subtitle files from videos using a Transformer-based framework.

Attention-based OCR library for building vision AI apps that extract text from images.

A TensorFlow-based rotation detection benchmark for computer vision and AI models.