Trending Projects

A visual tracking library based on PyTorch for computer vision and machine learning applications.

An index of algorithms for learning causality with data, useful for vibe coders working on AI-powered applications.

Alpa is a distributed training and serving framework for large-scale neural networks with auto-parallelization.

AGiXT is a comprehensive AI agent automation platform that streamlines AI integration and task orchestration.

A Python library for document AI tasks like layout analysis, table detection, and text extraction.

A high-quality end-to-end speech interaction model for AI-powered voice applications.

A comprehensive collection of research papers on automatic speech recognition, speech synthesis, and related topics.

A Python library for representing, sending, storing, and searching multimodal data in AI and ML applications.

A JavaScript library for finding paths in a graph data structure, useful for AI-powered tools and apps.

A toolkit for creating, sharing, and using natural language prompts for machine learning tasks.

A scalable and easy-to-use TensorFlow library for Contextual Bandits and Reinforcement Learning.

A curated list of articles related to deep learning applied to music and audio processing.

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.

A Python library focused on improving YOLO models for object detection and computer vision tasks.

A PyTorch implementation of the TabNet paper, a novel deep learning architecture for tabular data.

A comprehensive set of cheatsheets for Stanford's CS 221 Artificial Intelligence course.

Turn expensive prompts into cheap fine-tuned models for AI developers and ML engineers.

A unified evaluation framework for large language models, focused on prompt engineering and model robustness.

Easily compute CLIP embeddings and build a CLIP-based retrieval system with this Jupyter Notebook library.

A framework for training Stable Baselines3 reinforcement learning agents with hyperparameter optimization.

A library for semi-supervised learning on medical image segmentation tasks.

A PyTorch library for Karras et al. (2022) diffusion models, useful for AI-powered coding tools.

The DeepFashion2 dataset provides clothing images and annotations for fashion-related computer vision tasks.

High-performance MLS-MPM solver for graphics and simulation applications.

Automated architecture search and hyperparameter optimization for PyTorch models.

A ROS package for real-time object detection using the YOLO deep learning model.

A simple and configurable grid world environment for reinforcement learning in Python.

Seamlessly integrate large language models (LLMs) like ChatGPT as Python functions.

A WebAssembly runtime implemented in TypeScript types for developers building AI-powered applications.

PIKE-RAG is a specialized knowledge extraction and reasoning framework for AI-powered applications.

A multilingual text processing toolkit for developers working with natural language processing tasks.

Large Concept Models for language modeling in a sentence representation space using PyTorch.

Implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference, for AI coding tools.

Turing.jl is a powerful Bayesian inference library for probabilistic programming in the Julia language.

A PyTorch implementation of VALL-E, a zero-shot text-to-speech model for vibe coders.

This is a PyTorch implementation of adversarial attacks, a tool for developers working on deep learning projects.

A library for building recommender system models using TensorFlow for AI-powered application development.

Open-source sentiment analysis system for aspect-level sentiment classification and opinion target extraction.

A C++ SQLite extension that provides efficient vector search capabilities using the Faiss library.

A photorealistic synthetic dataset for holistic indoor scene understanding using machine learning.

Open-source Chinese LLM models developed from Meta's LLaMA, for use in NLP and AI applications.

A Chinese translation of the book 'Approaching (Almost) Any Machine Learning Problem'.

A Python library for learning and evaluating knowledge graph embeddings

MiMo is an open-source library that unlocks the reasoning potential of language models for AI-powered development tools.

Predictive stock trading using unsupervised and supervised learning techniques in Python.

Minimal, clean example of LSTM neural network training in Python for learning purposes.

Nomic Developer API SDK is a Python library that provides tools for clustering, duplicate detection, embeddings, and topic modeling on unstructured data.

Automatically discover fast parallelization strategies for distributed deep neural network training.

A curated list of resources for speaker diarization, a speech processing task to identify who spoke when.

A set of pre-trained machine learning models for the spaCy NLP library.