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A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation".

Open-source project that supports software development with code generation, analysis, debugging, or documentation.

Basic proof of concept for genetic architecture search in Keras.

Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Example of RAG architecture using semantic search and summarization for retrieving Bible passages.

Scala Library/REPL for Machine Learning Research.

ImageBind One Embedding Space to Bind Them All.

Foundational Models for State-of-the-Art Speech and Text Translation.

A toolkit for reproducible reinforcement learning research.

Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.

AI code reviewer for GitHub Actions or local use, compatible with any LLM and integrated with Jira/Linear.

🔍 Chrome扩展，为安全研究和渗透测试提供Google/百度/Bing高级搜索语法快捷执行。一键Dorking、批量提取URL、智能过滤黑名单，大幅提升信息收集效率。 🔍 Chrome extension for security research and penetration testing. One-click advanced search (Dorking) on Google/Baidu/Bing, bulk URL extraction, smart blacklist filtering. Boost OSINT efficiency.

Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.

Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).

Open-source project that supports software development with code generation, analysis, debugging, or documentation.

Research paper summariser application for our hackathon.

An open-source visual programming environment for battle-testing prompts to LLMs.

Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].

AI-native database built for LLM applications, providing incredibly fast vector and full-text search.

A modern and intuitive Chrome extension that brings your favorite OSINT tools, metadata analyzers, and Google Dorking assistants right into your browser.

Autograd and XLA for high-performance machine learning research.

A project to make it easier to use large external knowledge bases with LLMs.