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A collection of machine learning projects for developers to learn and apply various ML techniques.
An open-source collection of computer vision tutorials and resources for developers.
A toy Python implementation of the GloVe word embedding algorithm, useful for NLP developers.
A comprehensive Python and C++ data mining library for algorithms, clustering, neural networks, and more.
A conversational speech generation model for developers building AI-powered applications.
High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model
LIO-SAM is a tightly-coupled lidar-inertial odometry and mapping system for robot navigation.
Deep Reinforcement Learning library for developing AI agents and algorithms.
A C++ library for building robust and modular behavior trees for AI and robotics applications.
Mesa is an open-source Python library for agent-based modeling and simulation of complex systems.
HippoRAG is a novel RAG framework that enables LLMs to continuously integrate knowledge across external documents.
A powerful behavior tree AI library for the Godot game engine, enabling vibe coders to build intelligent game agents.
A powerful open-source scientific computing environment for JavaScript with GPU acceleration, TeX support, and data visualization.
A Python library that uses AnimeGANv3 to convert photos or videos into anime-style art.
A TypeScript library for fetching and saving entire websites as text files for use with AI models.
This repository provides open-source code and educational resources for learning deep learning and machine learning with Python.
PyTorch implementation of the Asynchronous Advantage Actor Critic (A3C) algorithm for deep reinforcement learning.
A comprehensive list of contrastive self-supervised learning papers for machine learning researchers.
A speech emotion recognition library implemented in Keras with support for CNN, LSTM, SVM, and MLP models.
R-FCN: Object Detection via Region-based Fully Convolutional Networks - a Matlab library for computer vision tasks.
A family of diffusion models for text-to-audio generation, targeting vibe coders who build with AI tools.
A mirror of ChatGPT based on the GPT-3.5-Turbo model, allowing developers to interact with and build upon the ChatGPT functionality.
An on-device LLM execution library for React Native, compatible with Vercel AI SDK.
House3D is a realistic and rich 3D environment for AI and robotics research and development.
An end-to-end web agent built with large multimodal models, enabling AI-powered web browsing and automation.
Jupyter Notebook project to build large language models from scratch using Python, including GLM4, Llama3, and RWKV6.
An autoregressive character-level language model for generating text in a variety of styles.
A framework for prompt tuning using Intent-based Prompt Calibration, focused on AI coding tools.
A repository hosting code for a state-of-the-art generative recommender system for AI-powered developer tools.
zetane/viewer is a Python-based 3D visualizer for ML models and internal tensors.
Community-curated list of startups working with AI in audio and music technology.
A Python library for creating AI-generated artwork using Stable Diffusion models.
A Python framework that makes it easy to build AI applications using large language models like GPT and LLMs.
A comprehensive collection of resources and examples related to chatbots and conversational AI applications.
Cortex is a machine learning library for Clojure, providing a powerful and flexible framework for building AI models.
A Python-based tool that allows customizing the 'cutoff' effect in Stable Diffusion, a popular AI-powered image generation model.
A fast local neural text-to-speech engine for Mycroft, an open-source voice assistant.
Gerbil Scheme is a high-performance Scheme implementation suitable for building AI tools and applications.
A JavaScript library for real-time object detection in the browser, using computer vision techniques.
SMAC3 is a versatile Bayesian optimization package for hyperparameter optimization in machine learning models.
A collection of PyTorch tricks and tutorials for developers working with AI and machine learning.
A Python library that boosts cost efficiency, inference accuracy, and cross-domain adaptability for complex QA systems.
Lab materials for an introductory course on deep learning from MIT, covering computer vision, music generation, and more.
A Cloud Native Batch System for running AI/ML workloads on Kubernetes at scale.
An optimized library for efficient multi-GPU communication in deep learning applications.
A text classification model using CNN and RNN implemented with TensorFlow for Chinese text data.
Olivia is an open-source, AI-powered voice assistant that can be used to build conversational applications.
An audio plugin for converting audio to MIDI using deep learning, built with the JUCE framework.
An open-source library that enhances document layout analysis using diverse synthetic data and adaptive perception.
A benchmark for evaluating different implementations of Variational Autoencoders (VAEs) in PyTorch.
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