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A collection of academic papers related to computer science and machine learning.
Extra blocks for scikit-learn pipelines, a popular machine learning library in Python.
Chat with your PDFs using AI, allowing you to easily extract information from documents.
A PyTorch implementation of a BERT-style pretraining method for convolutional networks, enabling more efficient self-supervised learning.
A toolbox for adversarial robustness research, focused on building more secure machine learning models.
A Python library for machine learning on neuroimaging data, providing a high-level API for brain imaging analysis.
A PyTorch-based probabilistic time series forecasting framework with advanced models like DeepAR, LSTNet, and N-BEATS.
Nearest neighbor search library for high-dimensional data, useful for AI/ML applications.
A Python library for using diffusion models to segment and reconstruct medical images.
Official implementation of a paper on estimating geometry in the presence of motion, likely useful for computer vision and 3D applications.
PyTorch implementation of the MoCo v3 unsupervised learning algorithm for feature representation.
A curated list of advanced retrieval augmented generation (RAG) in Large Language Models.
A community-driven AI automation framework that combines language models with specialized tools for tasks like web search, crawling, and Python code execution.
A high-quality speech analysis, manipulation and synthesis system written in C++.
An open-source medical AI language model focused on taming language models to be a doctor.
Introductory examples and tutorials on deep generative modeling techniques like VAEs, GANs, and score-based models.
This is an AI-powered medical coding tool that leverages large language models for complex reasoning.
MiniSora is a community exploring the implementation and future development of the Sora video generation platform.
A curated list of the best code-LLM tools for AI-powered code generation and research.
Hack Night is an open weekly training session for developers, focused on AI tools and coding.
Lightweight Python library for scraping websites using large language models (LLMs) and the Playwright browser automation tool.
RayLLM is a framework for serving large language models (LLMs) on the Ray distributed computing platform.
A PyTorch-based deep reinforcement learning library for developing AI agents and algorithms.
A comprehensive survey of efficient large language models for AI and machine learning systems.
High-performance Rust stream processing engine that seamlessly integrates AI capabilities for real-time data processing.
A collection of paper reading notes on deep learning and machine learning topics.
Gerbil Scheme is a high-performance Scheme implementation suitable for building AI tools and applications.
Official implementation of a multi-view consistent image generation model for AI-focused developers.
A Python library that provides dynamic thresholding (CFG scale fix) for Stable Diffusion AI models.
An open-source runtime for building and managing intelligent agents across local, cloud, and edge environments.
Learn CUDA Programming, a library for developing high-performance, parallel applications on NVIDIA GPUs.
This C++ library is for visual-inertial odometry (VIO) and state estimation for robotic applications.
A reference BLEU implementation that auto-downloads test sets and reports a version string.
A collection of resources for speech enhancement, speech separation, and sound source localization.
Multimodal AI toolkit for fast content understanding and generation across text, images, and video
A comprehensive survey on Meta AI's Segment Anything Model (SAM), a powerful computer vision tool.
An open-source implementation of Large Reconstruction Models for 3D computer vision and generative AI applications.
A Python library that provides a super easy local implementation of the RAG (Retrieval-Augmented Generation) model with Ollama and email capabilities.
JXWAF is an AI-powered Web Application Firewall (WAF) built on OpenResty and Nginx-Lua.
A curated list of resources on large language models and foundation models for time series, spatiotemporal, and event data analysis.
A voice chat app built with Python that leverages AI-powered speech recognition and text-to-speech capabilities.
A framework that adapts large language models (LLMs) in real-time for unseen tasks, targeting vibe coders.
A Go-based tool that uses ML to classify network flows and packets as benign or malicious.
A Raspberry Pi guitar pedal that uses neural networks to emulate real amps and effects.
Open-source C++ library for high-quality depth estimation using the Semi-Global Matching algorithm, a classic and widely-used stereo matching algorithm.
A Python tool to generate prompts for human portraits using AI image creation.
A TypeScript project that allows you to chat with Hacker News using natural language, built with OpenAI Functions and Vercel AI SDK.
A face recognition library for Go that uses the dlib computer vision library.
A Jupyter Notebook project that leverages OpenAI and ChatGPT to perform hacking-related tasks.
A pure Python implementation of Spiking Neural Networks for tasks like MNIST classification.
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