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Catalyst is an accelerated deep learning R&D library for Python that supports a variety of AI and machine learning use cases.
Generate, animate, and schedule AI characters for your workflow, powered by large language models.
An open-source project that allows developers to train their own O1 preview models for AI-powered coding assistance.
TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.
A curated collection of LLM (Large Language Model) datasets and resources for developers working with AI tools.
A curated list of awesome GPT-based tools and resources for developers working with AI.
This is a repository containing Jupyter Notebooks focused on deep learning and AI/ML topics.
An open-source PyTorch implementation of a text detection algorithm for curved text in images.
A curated collection of must-read papers on pre-trained language models for developers and researchers.
This GitHub repository is a collection of AI-related papers, datasets, and applications focused on prompt engineering and large language models.
A TypeScript-based chatbot document solution powered by GPT and embedding, useful for vibe coders.
A research project on Fully Convolutional Networks for Semantic Segmentation, a key computer vision technique.
A GAN-based face editing tool that allows users to edit faces using sketches and color inputs.
OpenCV-based Python library for building autonomous RC cars with neural networks.
A C++ library for detecting custom wake words using a deep neural network, useful for AI voice assistants.
A Rust framework for blazingly fast inference of ML models using zero-knowledge proofs.
Official PyTorch implementation of the SinGAN paper, a generative model that can be trained on a single natural image.
A PyTorch implementation of the FCOS one-stage object detection model for computer vision tasks.
A comprehensive library for hand pose estimation and tracking, useful for human-computer interaction projects.
A C++ library for simulating biological evolution, not focused on AI coding tools.
A comprehensive resource for industrial image anomaly/defect detection papers and datasets.
A high-quality neural network-based 3D generative model for producing realistic images of faces and objects.
An official repository for the 'Mini-Gemini' model, a multi-modal vision-language model for generation tasks.
A Chinese-language book that provides a deep dive into the architecture and implementation of large language models like GPT.
A feature-rich WeChat bot with AI-powered capabilities for developers, including security news, vulnerability lookup, and more.
A Python-based service that allows developers to use large language models (LLMs) as a chatbot backend.
A Python library that provides superfast AI decision-making and intelligent multi-modal data processing.
A compiler for neural network hardware accelerators, focusing on performance and efficiency.
YAYI 2 is an open-source large language model (LLM) for Chinese developers, trained on over 20 trillion tokens.
A curated list of resources and projects related to quantum machine learning, algorithms, and frameworks.
Grounded SAM 2 is an open-source library for ground and track anything in videos using state-of-the-art AI models.
A semantic router system for deploying and managing a mixture of AI models at the cloud, data center, and edge.
Clean, robust, and unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms.
A media player for language learning with AI-powered features like dual subtitles, real-time translation, and more.
A Python library providing agent-based skills for security research, vulnerability detection, and audit workflows.
LimiX is a Python library that enables structured-data modeling capability for generalist intelligence.
A comprehensive library for audio and music analysis, feature extraction, and deep learning applications.
A high-performance library for efficient neural network pruning and compression across LLMs, vision models, and more.
An AI-powered image segmentation library that can be used for a variety of computer vision tasks.
Python library for analyzing magnetoencephalography (MEG) and electroencephalography (EEG) data.
A light-hearted yet rigorous approach to learning about impact estimation and causality in Python.
Open-source personal AI notebooks for organizing files, webpages, and generating notes with flexible LLM choice.
Efficient vision foundation models for high-resolution generation and perception.
The I-JEPA codebase provides a self-supervised learning architecture for joint image-text embedding.
Waymo Open Dataset is a large-scale dataset for autonomous driving research and development.
A TypeScript-powered web app that brings ML-powered speech recognition to the browser using the Whisper AI model.
HippoRAG is a novel RAG framework that enables LLMs to continuously integrate knowledge across external documents.
An index of algorithms for learning causality with data, useful for vibe coders working on AI-powered applications.
A convertor/conversion tool for deep learning models across various deep learning frameworks/software.
A curated list of language modeling research for code and software engineering activities.
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