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StreamDiffusion is a Python library that provides a pipeline-level solution for real-time interactive generation.
A Unity-based toolkit for creating AI-driven character animations and behaviors
A Python library for online machine learning, enabling incremental and real-time learning on data streams.
High-performance TensorFlow library for quantitative finance applications.
Core ML tools for converting, editing, and validating machine learning models for deployment.
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments using MuJoCo.
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Code for visualizing the loss landscape of neural networks, a powerful tool for AI and ML researchers.
A collection of prompt patterns and strategies for designing AI-powered applications and tools.
A collection of books, papers, and documents for developers working with AI tools and technologies.
A unified library for parameter-efficient and modular transfer learning in NLP with BERT, LoRA, and Transformers.
A collection of Jupyter notebooks showing how to use the Qiskit SDK for quantum computing
A Jupyter Notebook project for measuring the accuracy of retrieval from large language models at various context lengths.
A scalable, fast, and efficient approximate nearest neighbor search library written in Rust.
A comprehensive collection of data augmentation resources and techniques for developers working with AI tools.
Build an email assistant with human-in-the-loop and memory using the LangChain framework.
A curated collection of datasets, papers, and books on the intersection of AI and finance.
An open-source 6DoF head tracking software for gaming, simulations, and virtual experiences.
A neural network model for detecting different emotions from audio speeches using Python and deep learning.
This repository contains sample code and notebooks for the Gemini platform, a developer-focused AI tool ecosystem.
A library for keyword spotting on Arm Cortex-M microcontrollers using machine learning and the CMSIS-NN framework.
Scaffold-GS is a powerful 3D rendering library that uses structured Gaussian splatting for view-adaptive reconstruction.
A Python library for converting JSON annotations into YOLO format for object detection.
Tau-Bench is a Python library for benchmarking and evaluating AI language models and tools.
Relation Networks for object detection, a Python library for computer vision tasks.
A paper list for equivariant neural networks, a powerful AI architecture for symmetry-aware ML models.
A workshop to understand how large language models (LLMs) are implemented and used in Python and PyTorch.
Implementations of selected inverse reinforcement learning algorithms.
A PyTorch implementation of Prototypical Networks for Few-Shot Learning, a powerful technique for training AI models on small datasets.
Perception and AI components for autonomous mobile robotics.
This repository contains demos for the Transformers library by HuggingFace, a popular NLP and computer vision library.
This project makes the Segment Anything Model (SAM) lightweight for mobile applications and beyond.
A toolkit for automated causal inference and econometric analysis, combining machine learning and econometrics.
A Python library for digital signal processing that can be useful for vibe coders working with AI tools.
An open-source, camera-only framework for autonomous driving perception tasks like 3D object detection and semantic map segmentation.
Official implementation of a hierarchical 3D generation model with a bootstrapped diffusion prior, for AI-generated content.
A C++ library for distributed large language model inference, allowing developers to build powerful AI applications with a cluster of home devices.
This repository provides advanced techniques and cookbooks for building Retrieval-Augmented Generation (RAG) systems.
A Python library for extracting structured data from documents using advanced AI techniques.
ItsAbot is a Go-based framework that makes it easy to build your own digital assistant with AI tools.
This GitHub repository is a comprehensive tutorial for learning machine learning in just two months, featuring Jupyter Notebooks and covering essential ML concepts.
Official implementation of iTransformer, an effective transformer-based time series forecasting model.
Fast stable diffusion on CPU and AI PC, a Python library for running Stable Diffusion models efficiently on CPUs.
A PyTorch library for building state-of-the-art semantic segmentation models for computer vision tasks.
A suite of GIMP plugins for texture synthesis, inpainting, and style transfer.
A curated collection of Google Colab notebooks and repositories for data science, machine learning, and AI development.
An AI-powered video super-resolution model that enhances real-world videos using text-to-video generation.
An industrial-grade graph neural network framework for building large-scale graph-based AI applications.
An open-source speech recognition library for the Espressif ESP32 microcontroller platform.
An Android assistant app that uses voice recognition, text-to-speech, and AI skills to provide a personal assistant experience.
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