Trending Projects

A Pytorch-based RNN model for anomaly detection in time-series data.

Lightweight Python library for scraping websites using large language models (LLMs) and the Playwright browser automation tool.

A high-performance 3D Gaussian Splatting rasterizer for rendering AI-generated graphics.

A PyTorch library for image synthesis and editing using stochastic differential equations.

A high-quality 3D object reconstruction library using Gaussian splatting from four views.

A comprehensive collection of SLAM (Simultaneous Localization and Mapping) applications and comparisons for robotics and lidar-based navigation.

A PyTorch library for building Factorization Machine models for click-through rate prediction tasks.

A curated list of SLAM (Simultaneous Localization and Mapping) resources for developers working in computer vision and robotics.

A TensorFlow implementation of Neural Turing Machines, a class of models that can learn algorithms.

A deep learning library for image animation and motion retargeting, useful for vibe coders working on generative AI projects.

A Python library for explaining the predictions of any machine learning classifier.

A curated list of cool links and research papers related to Machine Learning applied to source code (MLonCode).

Massively parallel deep reinforcement learning library for efficient, stable, and lightweight RL models.

A pre-training toolbox and benchmark for vision AI models, including self-supervised learning and state-of-the-art architectures.

A collection of classic papers and resources on recommendation systems and machine learning

A learning repository for 'Dive into Deep Learning' course, using PyTorch for hands-on deep learning implementation.

A Go-based developer tool for building applications with large language models and AI tools.

This is a PyTorch implementation of a 3D U-Net CNN for medical image segmentation.

A Python library for change point detection in time series data, useful for AI/ML model monitoring and optimization.

Official implementation of a decomposable multiscale mixing model for time series forecasting

A customizable image-to-video model based on HunyuanVideo for developers building AI-powered video applications.

Underthesea is a powerful Vietnamese NLP toolkit for developers working with natural language processing tasks.

A Python-based tool for generating subtitles using OpenAI's Whisper speech recognition model.

A community-driven repository for Keras, a popular deep learning library for Python.

FCIS is a library for instance-aware semantic segmentation, a computer vision technique useful for AI and robotics applications.

Enzyme is a high-performance automatic differentiation library for LLVM and MLIR, enabling efficient machine learning and scientific computing.

A PyTorch implementation of the BiDAF network for question-answering on the SQuAD dataset.

A platform for building and sharing AI-powered conversational skills for SUSI.AI.

The official code repository for the second edition of the book Generative Deep Learning, covering AI models and techniques.

TornadoVM is a heterogeneous programming framework that enables developers to leverage GPUs and other accelerators for improved performance in Java applications.

An open-source, flexible quadrotor simulator for developing and testing autonomous drone applications.

A zero-shot image editing tool that allows users to transfer textures and styles from reference images.

Real-time photorealistic talking-head animation system built with Python and deep learning.

A Python library for building Bayesian statistical models and performing Bayesian inference.

This project provides advanced voiceprint recognition models and data preprocessing methods using PyTorch.

A Jupyter Notebook repository that provides a function calling interface for developers working with AI tools.

A fast, differentiable tensor library in JavaScript and TypeScript with Bun and Flashlight support.

A collection of samples and tools for building AI-powered Windows applications using frameworks like TensorFlow and PyTorch.

A multi-agent framework for end-to-end film automation in virtual 3D spaces, focused on AI-powered filmmaking.

A curated collection of various AI tools and products for developers building with AI technologies.

IPython kernel for Torch with visualization and plotting capabilities for AI/ML development.

A Keras implementation of the WaveNet model for audio generation and processing.

Strategies for pre-training graph neural networks for better performance on graph-based machine learning tasks.

This Python repository provides code for training, evaluating, and predicting deep learning models.

A Python framework for developing complex video analysis and series-processing applications.

An open-source AutoML toolkit for automating the machine learning lifecycle, including feature engineering, neural architecture search, and hyperparameter tuning.

An open-source, high-performance C++ library for real-time face detection in images and video.

A comprehensive PyTorch tutorial for building neural networks and AI models with ease

A comprehensive repository for NLP engineers, covering interview prep, fundamentals, and engineering skills.

An open-source framework for prompt-learning, a powerful technique for fine-tuning language models.