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This repository contains code and solutions for the Mathematics for Machine Learning (MML) book, a self-study resource for developers interested in the math behind machine learning.
A scalable machine learning library for time series forecasting in Python.
Provides enhanced inpainting nodes for the ComfyUI AI generation tool, enabling better image editing and filling capabilities.
An Android app that brings the power of Stable Diffusion AI to mobile devices, built with Kotlin and modern Android frameworks.
Official implementation of SAM-Med2D, a tool for medical image segmentation using transformers.
This is a Jupyter Notebook repository for the Stable Diffusion AI model, a powerful text-to-image generation tool.
An open-source Python library for open-vocabulary segmentation with a pre-trained Segment Anything Model (SAM).
An open-source post-building layer for AI agents, providing environment data and evaluations to power agent post-training and monitoring.
Open Assistant is a chat-based AI project aimed at providing access to large language models for improving language innovation.
A deep learning-based Chinese speech recognition system for developers working on AI-powered speech applications.
A powerful Python NLP library for tokenization, sentence segmentation, named entity recognition, and parsing of many languages.
An open-source implementation of large language models with a focus on model parallelism and efficiency.
A Jupyter Notebook implementation of the U-Net convolutional neural network for image segmentation tasks.
A Python library for generating handwritten text using recurrent neural networks (RNNs) and TensorFlow.
Modular, open-source platform for building voice-based AI agents and LLM integrations.
MITIE is a C++ library and tools for information extraction, with support for Java and Python.
A free API that provides access to the DeepSeek-V3 and R1 large language models, enabling developers to build AI-powered chatbots and applications.
Python library for optimal transport and related problems, useful for machine learning tasks.
A curated collection of resources about graph-related large language models (LLMs) for developers.
PIKE-RAG is a specialized knowledge extraction and reasoning framework for AI-powered applications.
A library for understanding and improving diffusion-based generative models, a key technique in AI-powered creative tools.
A dataset of Linus Torvalds' rants classified by negativity using sentiment analysis.
A large-scale LLM inference engine built in C++ with support for various AI hardware accelerators.
An open-source deep reinforcement learning library that combines several state-of-the-art improvements.
AI-powered news aggregator that summarizes Twitter/RSS feeds with structured summaries and web dashboard
An open-source framework for AI-powered process automation with support for large language, action, and multimodal models.
A Jupyter Notebook-based benchmark for evaluating the quality of large language models by having them play Street Fighter 3.
Synchronized Translation for Videos: Automatic dubbing and subtitling for video content.
A collection of code and slides for a YouTube series on audio signal processing for machine learning
A community-driven AI automation framework that combines language models with specialized tools for tasks like web search, crawling, and Python code execution.
A library for using large and small language models together in machine learning applications.
A critical perspective on understanding R1-Zero-Like Training, a technique for large language models.
A fast computer vision library for 3D reconstruction, calibration, tracking, and more, written in Java.
Open-source browser automation library for AI agents to interact with web applications.
A library for universal monocular metric depth estimation using computer vision techniques.
A Python library that converts videos to densepose and integrates with the MagicAnimate AI tool.
A real-time pix2pix implementation for Unity, a popular game engine, enabling AI-powered image-to-image translation.
A bottom-up object detection algorithm that groups extreme and center points to detect objects.
Interpret is a framework for fitting interpretable machine learning models and explaining black-box models.
This repository provides the code for the book 'Deep Learning with PyTorch', a comprehensive guide to building deep neural networks using PyTorch.
A TypeScript-based open-source API that provides a reverse-engineered interface to the Kimi AI large language model, with features like stream output, smart agent dialogue, and document parsing.
A real-time, trimap-free portrait matting solution using AI and computer vision techniques.
This open-source repository provides SLAM (Simultaneous Localization and Mapping) code for autonomous driving scenarios.
An intelligent trading bot that generates signals and trades using machine learning and feature engineering.
The Simple Agent Development Kit for building AI-powered software agents and bots.
MLOps tool for building and deploying machine learning models on Azure cloud services
A JavaScript library that helps developers interface with Large Language Models (LLMs) and AI tools like OpenAI.
A multi-backend Keras API implementation with support for TensorFlow, JAX, and PyTorch.
Minimal and annotated implementations of key ideas from modern deep learning research.
Fast and embedded solvers for nonlinear optimal control and nonlinear model predictive control
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