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A toolbox for training and deploying object detectors and segmentation models on medical images using PyTorch.
An open-source visual interface for interacting with large language models, similar to Visual ChatGPT.
A TensorFlow-based text classifier implementation that can be used as a starting point for building AI-powered coding tools.
Implementation of the QuickDraw game, a computer vision and deep learning project focused on image classification.
Efficient PyTorch practices for training large datasets
Paddle.js is a web project for the Baidu PaddlePaddle deep learning framework, enabling browser-based inference.
Autonomous GPT-4 agent platform for building AI-powered applications and workflows.
Open-source script for improving object detection models, useful for vibe coders building AI-powered apps.
A modular Stable Diffusion web UI with a focus on making AI tools easily accessible and extensible.
A reliable multi-agent orchestration framework for building complex distributed systems and applications.
A simple, easy-to-hack implementation of GraphRAG, a tool for building AI-powered applications.
AllenAI's open-source post-training codebase for building AI models and agents.
Project that provides a reasoning-based segmentation method using large language models.
A C++ library for real-time multiple object tracking using the Hungarian algorithm and Kalman filters.
A curated list of papers about using deep learning for protein design.
A curated collection of free AI resources including courses, jobs, blogs, and research for developers.
A tutorial for deep learning researchers to understand the basics of distribution probability.
A collection of camera mods to enhance the experience for developers using AI-powered tools.
An Alexa skill that allows users to interact with the SUSI AI assistant through voice commands.
A Jupyter Notebook project for detecting text in natural images using the Connectionist Text Proposal Network (CTPN) algorithm.
NVIDIA DLSS is a deep learning neural network that boosts frame rates and generates sharp images for games.
A Python library for solving inverse kinematics using the MuJoCo physics simulation engine.
Procedurally-generated game-like environments for AI and reinforcement learning research.
An async RL training library for scaling AI model training and deployment.
Official PyTorch implementation of the NVAE deep hierarchical variational autoencoder for AI and ML developers.
A powerful open-world object detection model for computer vision tasks, leveraging the DINO framework.
A Python library for Chinese sentiment analysis using CNN, Bi-LSTM, and text classification.
This repository is an experiment in using reinforcement learning to play the classic Pokemon Red video game.
A high-performance deep learning framework for training and deploying neural networks on various hardware.
A TensorFlow library for the YOLOv3 object detection model, enabling vibe coders to build cutting-edge computer vision applications.
A curated list of articles related to deep learning applied to music and audio processing.
A large collection of system log datasets for AI-driven log analytics.
A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain.
This is a Jupyter Notebook project focused on biological foundation modeling from molecular to genome scale.
CCNet is a semantic segmentation library that uses Criss-Cross Attention to improve scene parsing performance.
An enterprise-grade, API-first LLM workspace for unstructured document processing, with features like data extraction, redaction, and prompt engineering.
A library for studying the robustness of computer vision models to various corruptions and perturbations.
A curated collection of must-read papers and blogs on speculative decoding techniques for developers.
A state-of-the-art AI text-to-GIF model for developers building with AI tools and Stable Diffusion XL.
Code for reproducing key results in the paper 'InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets'
A lip sync generation tool that leverages AI to synchronize speech with video in the wild.
NumPy-aware dynamic Python compiler using LLVM, enabling fast, high-performance array and numerical computing.
A flexible workflow orchestration platform that seamlessly integrates data, ML, and analytics stacks.
A comprehensive tutorial on practical AI and machine learning, with Jupyter Notebook examples.
An awesome list of best LLMOps tools for developers building with AI tools and language models.
Edward is a probabilistic programming language in TensorFlow for deep generative models and variational inference.
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning tasks on a variety of GPUs.
Turns any image into Obama using revolutionary Rust-based technology.
A project to build a knowledge graph and AI agent for the renowned Chinese poet Li Bai, promoting his cultural legacy through AI-powered tools.
Cutting-edge AI-powered audio transcription tool with a user-friendly GUI and support for speaker identification.
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