Trending Projects

A comprehensive survey of deep learning techniques for 3D point cloud analysis, covering classification, detection, segmentation, and tracking.

Rinha de Backend is a Lua-based backend framework and development platform for building AI-powered applications.

A collection of modular datasets generated by GPT-4 for AI code generation and prompt engineering.

A collection of GAN implementations in PyTorch, including progressive growing of GANs.

Build, enrich, and transform datasets using AI models with no code

A PyTorch library for obtaining higher-order gradients over complex training loops.

An intelligent trading bot that generates signals and trades using machine learning and feature engineering.

A guide to learn about Transformer models, a foundational architecture for natural language processing.

Open-source codebase for a paper on using evolution strategies for scalable reinforcement learning.

A curated list of resources for developing applications using large language models (LLMs) with the Retrieval Augmented Generation (RAG) pattern.

This repository contains a collection of machine learning interview questions for developers to prepare for interviews.

A curated list of papers and resources on text style transfer, a task in natural language processing.

A Python library for creating AI-generated artwork using Stable Diffusion models.

A diffusion-based model for generating realistic talking portrait videos.

A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.

A deep learning gateway for Raspberry Pi and other edge devices, enabling AI inference at the edge.

Inference tool for Microsoft's Florence2 Versatile Language Model (VLM), built for vibe coders using AI tools.

A curated list of Tiny Object Detection papers and related resources for developers working with AI-powered computer vision.

A fast and scalable SVM library for classification and regression tasks on GPUs and CPUs.

A Python library that provides building blocks for rapid development of generative AI applications.

This open-source project provides clarity on the current state of the fast-paced open-source AI landscape.

verl-agent is a Python framework for training LLM/VLM agents using reinforcement learning.

Examples for using ONNX Runtime for machine learning inferencing.

SmoothQuant is an efficient post-training quantization tool for large language models, enabling accurate and fast inference.

A Python-based assistant for reverse engineering and exploring the 1999 time period.

A personal knowledge management system and digital garden for Swyx, a developer focused on building with AI tools.

Open-source tools for computational pathology and digital pathology research using deep learning and weakly-supervised learning.

On-line Machine Learning library in Go for building AI-powered applications.

An official repository for a paper on using executable code actions to elicit better LLM agents

A Python library that uses Transformers to remove harmful/harmless refusals from text.

Extensible, parallel implementations of the popular t-SNE dimensionality reduction algorithm for data visualization.

An open-source hardware platform for the SUSI AI virtual assistant, built with Python on Raspberry Pi.

A C++ project for deploying large language models (LLMs) like ChatGLM and Baichuan using the MNN framework.

A Jupyter Notebook-based course on accelerated computer vision using AWS Machine Learning University.

A Python library for developers building AI-powered applications and tools.

Tigramite is a Python library for causal inference and time series analysis with a focus on time series data.

A TensorFlow implementation of contextualized word representations from bi-directional language models.

PaddleSlim is an open-source library for deep model compression and architecture search.

A Python framework for GPR underground hazard detection using reservoir computing and SAM techniques.

A Julia framework for acausal modeling, symbolic math, and parallelized scientific machine learning.

A tool to generate generative NFT art projects using JavaScript.

A TensorFlow/Keras implementation of the Stable Diffusion AI model for text-to-image generation.

Examples of using sparse attention, a technique for efficient Transformer-based sequence modeling.

A Python library for training and detecting objects using the YOLO3 deep learning algorithm.

Open academic research on improving the LLaMA language model to state-of-the-art performance.

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, and Quantum Neural Networks.

Google Assistant for macOS, allowing developers to build AI-powered voice assistants for their Mac applications.

Frontier CoreML audio models for iOS and macOS apps with text-to-speech, speech-to-text, voice activity detection, and speaker diarization.

Qwen-Image-Layered is a Python library for layered decomposition and inherent editability of images.

This GitHub repository contains deep learning papers and resources focused on medical image analysis.