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A Python re-implementation of the pi0 vision-language-action (VLA) model for developers working with AI tools.
This is a CUDA library for fast and accurate rasterization of Gaussian primitives, useful for graphics and visualization applications.
A flexible package for multimodal deep learning to combine tabular, text, and image data using Wide and Deep models in PyTorch.
A comprehensive implementation of all reinforcement learning algorithms in a simpler way.
NeuralSVG is an official Python implementation of a tool for generating SVG images from neural networks.
This repository provides code and models for large-scale computer vision research projects using AI tools.
This Python library speeds up Stable Diffusion, a popular AI image generation model.
One-stage Retinex-based Transformer for Low-light Image Enhancement
An open-source virtual assistant for Ubuntu-based Linux distributions, focused on speech recognition and natural language processing.
An open-source library for automatically rigging diverse skeletons using a single neural network model.
A Python library for building multi-agent systems with large language models (LLMs) and the LangGraph framework.
Korean BERT pre-trained model for natural language processing tasks in the Korean language.
Use pre-trained transformer models like BERT, GPT-2, and XLNet in the spaCy NLP library.
A collective communications library with various primitives for multi-machine training.
A tool suite for texture and 3D model compression, optimization, and analysis using CPUs, GPUs, and APUs.
Python code to fuse multiple RGB-D images into a TSDF voxel volume for 3D reconstruction.
An all-in-one video production workstation with AI-powered content planning, generation, and automation.
A collection of Jupyter Notebooks implementing various AI algorithms for developers to learn and experiment with.
A neural network model for detecting different emotions from audio speeches using Python and deep learning.
A C++ library for fast and controllable 3D editing using Gaussian splatting, presented at CVPR 2024.
Evaluate your LLM-powered apps with TypeScript, a library for vibe coders building AI tools.
A TypeScript-based project that provides a framework for building Natural Language Large Language Models (NaLLM).
Personae is a repo for implementing and experimenting with Deep Reinforcement Learning and Supervised Learning for Quantitative Trading.
An end-to-end learning framework for negotiation dialogues, useful for building AI-powered negotiation agents.
Code for an efficient channel attention module for deep convolutional neural networks.
A Go-based implementation of the Llama language model, a popular open-source alternative to GPT-3.
A collection of small projects related to Neural Networks and Deep Learning with a focus on computer vision.
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
This repository contains code examples and notes for learning the PyTorch deep learning library.
This Python repository provides automated battle and image classification tools for the game ZenlessZoneZero.
A solution accelerator for building AI-powered chat applications using Azure Open AI Service.
A collection of research papers on transformer models for computer vision tasks like detection and segmentation.
An OBS plugin that enables real-time speech recognition and captioning using AI models like OpenAI Whisper.
A modern model graph visualizer and debugger for AI developers building with AI tools.
A Go program that attempts to bypass Cloudflare to use the ChatGPT API.
An emotion-controllable text-to-speech model for vibe coders, built on the VITS framework.
TextWorld is a sandbox learning environment for training and evaluating reinforcement learning agents on text-based games.
This is a Python library for solving grade-school math problems, potentially useful for AI coding tools.
A C++ library for finding trajectories in large datasets, potentially useful for AI/ML applications.
This repository contains solutions to assignments for the CS231n course on Convolutional Neural Networks for Visual Recognition.
A JavaScript tool for calculating token/s and GPU memory requirements for large language models like LLaMa.
Spearmint is a Python package for performing Bayesian optimization of machine learning algorithms.
A project to identify and classify animals using computer vision and machine learning techniques.
TorchCraft is a library that connects the Torch deep learning framework to the StarCraft game engine, enabling AI research and development.
A Keras-based implementation of the ResNet deep learning architecture for computer vision tasks.
OpenXuantie - OpenC910 Core is a Verilog-based hardware design for the RISC-V C910 core, targeted at AI and ML workloads.
A large and diverse 3D human motion-language dataset for deep learning and motion generation.
A Python tool that helps developers stay up-to-date with the latest AI research by summarizing Arxiv paper abstracts.
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
Code for learning agile robotic locomotion skills by imitating animal movements.
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