Trending Projects

StackNet is a scalable meta-modeling framework for building high-performance predictive models.

This project is a knowledge graph and question-answering system for movies, built using Python.

A fast and efficient computer vision library for edge devices, supporting face, head, pedestrian, and vehicle detection.

A platform for developing AI systems as described in the Roadmap towards Machine Intelligence paper.

A high-performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

A Python library for creating any 3D and 4D scenes from a single image with controllable video diffusion.

A fast offline inference version of the Segment Anything Model (SAM) for PyTorch developers.

A TensorFlow-based library for image completion using deep learning techniques.

Deprecated natural language parsing library for building conversational AI apps.

A Python library that provides a live plot of training loss for Keras and PyTorch models in Jupyter Notebooks.

A fast, real-time instance segmentation library for edge devices, built with PyTorch.

A global, black box optimization engine for real-world metric optimization.

Configure Caffe, a deep learning framework, for Windows users in a quick and easy way.

Talon is a Python library for building voice interfaces and voice-driven applications.

A PyTorch implementation of a voice separation algorithm for mixed audio with multiple speakers.

A Python library that breaks the sequential dependency of LLM inference using lookahead decoding for faster AI model inference.

A novel neural operator called Involution that can be used for image classification, object detection, and other computer vision tasks.

commonsense/conceptnet-numberbatch is a Python library for integrating commonsense knowledge into AI/ML models.

Official PyTorch repository for extreme compression of large language models using additive quantization and PV-Tuning.

A comprehensive guide to tackle text summarization using machine learning and natural language processing.

A desktop app that makes it easy to run Alpaca and other LLaMA-based local language models on your computer.

PORORO is a powerful Python library that provides a wide range of neural models for natural language processing tasks.

An efficient multimodal large language model with a small backbone for AI-powered coding tools.

A C++ library for solving exercises in the book 'Probabilistic Robotics' for autonomous vehicle and robotics development.

This is a topics course on deep learning from UC Berkeley, not a developer platform focused on vibe coders.

An open-source text summarization library built with pre-trained language models for developers.

This Python project converts the Anthropic Claude API to the OpenAI ChatGPT API format, enabling seamless integration.

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

An experimental OCR project implementing a CNN+BLSTM+CTC architecture for vision-based text recognition.

A library for building multi-layer recurrent neural networks (RNNs) for word-level language models in Python using TensorFlow.

Automatic 2D-to-3D video conversion tool using convolutional neural networks.

Research paper on domain adaptation and semantic-consistent transfer learning for computer vision.

This is a computer vision library for visual object tracking, specifically focused on handling distractors.

Enoki is a C++ library for structured vectorization and differentiation on modern processor architectures.

An open-source chatbot framework for developers to build AI-powered chat applications.

A Python toolbox for building interpretable machine learning models and diagnostics.

This is a workshop repository for the Google Brain Tokyo team, focusing on AI and machine learning topics.

A collection of Caffe models and deployment files for popular machine learning networks like classification, detection, and segmentation.

A simple PyTorch implementation of Generative Adversarial Networks for generating anime-style faces.

Universal instance perception model for object detection, segmentation, and tracking in videos.

A minimalist C implementation of the MNIST dataset for machine learning experiments.

A repository for few-shot learning machine learning projects, focused on meta-learning and PyTorch.

A Scheme to WebAssembly compiler that enables developers to build powerful AI-powered tools and applications.

A desktop frontend for Stable Diffusion with inpainting, img2img and more capabilities for AI-powered image generation.

This is a developer tool focused on creating and analyzing 'malodorous' digital proofs and arguments.

Cortex is a machine learning library for Clojure, providing a powerful and flexible framework for building AI models.

PyTorch implementation of Deep Reinforcement Learning algorithms like TRPO, PPO, A2C, and GAIL.

A high-performance graph embedding system that supports CUDA and can be used for machine learning and knowledge graph applications.

Early stopping implementation for PyTorch, helping prevent overfitting in machine learning models.

A PyTorch implementation of the Proximal Policy Optimization (PPO) algorithm for training an AI agent to play Super Mario Bros.