Trending Projects

Open-source digital stylus using camera tracking and inertial measurements for vibe coders.

Implementations of selected inverse reinforcement learning algorithms.

A collection of machine learning tutorials covering various topics like anomaly detection, time series forecasting, and object detection.

A deep learning-based library for efficient lane detection, using self-attention distillation.

An open-source Chinese medical multimodal model that can summarize chest radiographs.

A Python library for less-is-more reasoning with large language models, focused on the COLM 2025 conference.

A PyTorch implementation of Prototypical Networks for Few-Shot Learning, a powerful technique for training AI models on small datasets.

A comprehensive guide for developers to stay up-to-date with the latest advancements in AI, ML, DL, and computer vision.

A recurrent neural network trained on Kanye West's discography to generate new rap songs and lyrics.

A Python library that provides a Reinforcement Learning environment using the PyGame game engine.

A fast and powerful hierarchical vision transformer for computer vision tasks.

A collection of 'black magic' tools, libraries, and resources for developers who build with AI tools.

DepthAI is a high-performance, low-power embedded AI vision library for building computer vision and spatial AI applications.

This repository contains code and material for a book on deep learning and the game of Go, focused on the AlphaGo and AlphaGo Zero algorithms.

An AI-powered tool for quickly generating character descriptions and biographies for creative writing projects.

A data repository for pre-trained NLP models and corpora to use in language processing projects.

A unified ensemble framework for PyTorch to improve model performance and robustness.

Perception and AI components for autonomous mobile robotics.

A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery.

A PyTorch library for building CNN-based text classification models.

PubLayNet is a Jupyter Notebook library for parsing and analyzing layout and structure of scientific publications.

A GAN-based Mel-Spectrogram Inversion Network for high-quality text-to-speech synthesis.

A Jupyter Notebook project that allows searching Unsplash photos using natural language queries.

A Python library for benchmarking generalized out-of-distribution detection algorithms.

An audio communication library in Python that enables secure data transfer over air-gapped systems.

TinyMaix is a tiny inference library for microcontrollers, enabling efficient AI/ML on resource-constrained devices.

DeepLab2 is a TensorFlow library for dense pixel labeling tasks, providing a state-of-the-art codebase for computer vision and AI.

DynamicTanh (DyT) is a Python library that enhances the performance of neural networks by introducing a novel activation function.

Minimal LLM inference in Rust, a lightweight library for running large language models.

This repository provides optimized PyTorch models and inference tools for NVIDIA GPUs, aimed at vibe coders building with AI tools.

Official implementation of HyperStyle, a StyleGAN inversion method using hypernetworks for real image editing.

Get ChatGPT-like AI chatbot functionality in your terminal using this TypeScript-based CLI tool.

A Python library for semantic and instance segmentation of LiDAR point clouds for autonomous driving.

A high-quality 3D PBR asset generation tool powered by primitive diffusion models for CVPR 2025.

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

A Python library for generating multi-view-consistent images from a single-view image using diffusion models.

SQLFlow is an open-source project that integrates SQL and machine learning to simplify building data-driven applications.

An end-to-end framework for high-resolution monocular metric depth estimation, useful for computer vision applications.

An open-source platform for logging and analyzing OpenAI API usage, including cost tracking and prompt improvement.

A central, open resource for data and tools related to chain-of-thought reasoning in large language models.

A Python library with collections optimized for machine learning use cases.

A Python library for building continuous-time neural networks and neural ODEs.

Experiments with local and API-based AI models for vibe coders building with AI tools.

A curated list of awesome deep long-tailed learning resources for AI-focused developers.

TensorFlowASR is an almost state-of-the-art automatic speech recognition library in TensorFlow 2 for vibe coders.

Sample code for Microsoft's Cognitive Speech-to-Text API, featuring custom neural voices and text-to-speech functionality.

An open-source platform for building and deploying ML pipelines with a focus on MLOps

An implementation of the LLaMA model, built one matrix multiplication at a time using Jupyter Notebooks.

A library for generating psychedelic images using a deep learning algorithm.

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