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A Python library for deep learning-based object pose estimation, with ROS inference capabilities.
A Python library that combines the latest version of YOLOv5 and DeepSort for object detection and tracking.
Demo programs for the Talking Head Anime from a Single Image 2: More Expressive project, focused on AI and computer vision.
A zero-shot image-to-image translation library for developers building AI-powered creative applications.
A neural question generation model built using transformers for generating high-quality questions from text.
A curated collection of machine learning and deep learning resources for developers.
A curated list of papers related to imbalance problems in object detection research.
Video classification tools using 3D ResNet for action recognition and computer vision tasks.
This GitHub repository contains notes for the Fastai Deep Learning Course, focused on deep learning and image recognition using Python and PyTorch.
MASS is a pre-training framework for language generation tasks using masked sequence-to-sequence learning.
Res2Net-PretrainedModels is an official PyTorch implementation of the Res2Net multi-scale backbone architecture for computer vision tasks.
A Chinese GPT2 project for generating news article titles with detailed annotations.
Sample Node.js application for the IBM Watson Speech to Text service
Implementation of the QuickDraw game, a computer vision and deep learning project focused on image classification.
Sample code for the Google Cloud Vision API, a powerful computer vision tool for image analysis.
This Python project provides utilities to convert datasets to COCO and VOC formats for object detection tasks.
This repository provides projects for monocular depth estimation and 3D scene reconstruction from single images.
A toy path tracer for learning purposes, with support for CPU/GPU, C++/C#, Win/Mac/Wasm, DX11/Metal, and Unity.
A starter agent that can solve a number of OpenAI Universe environments, useful for AI and ML developers.
A collection of resources and code samples for semantic segmentation using deep learning models.
Curated repository of papers and resources on multi-camera 3D object detection and segmentation in bird's-eye-view.
A C++ library for 3D mapping and segmentation, potentially useful for robotics and computer vision applications.
TextBox 2.0 is a Python library for text generation with pre-trained language models.
IPython kernel for Torch with visualization and plotting capabilities for AI/ML development.
A fast, scalable library for Factorization Machines, a powerful machine learning model for recommendation systems.
Rust-based library for building dynamic neural networks and performing autodifferentiation.
A Keras port of the Single Shot MultiBox Detector (SSD) for object detection in computer vision.
A Python repository focused on natural language processing (NLP) tools and techniques.
Official implementation of an ultra-fast single-view 3D reconstruction tool built with Python.
Powerful SOTA computer vision model for various image enhancement tasks like denoising, deblurring, and more.
A Python library that implements the YOLOv3 object detection algorithm using MobileNetV2 and ASFF.
High quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
An NLP workshop providing concrete solutions to real-world problems using Jupyter Notebooks.
A text classifier library that uses Hierarchical Attention Networks for document classification.
A versatile generalist AI agent for developers building with AI tools and MCP frameworks.
Tools for causal analysis, helping developers understand and model causal relationships in their data.
A Python library that provides a fast and efficient keyword extraction algorithm using NLTK.
A curated collection of research papers and resources for natural language processing (NLP) practitioners.
A lightweight collaborative text span annotation tool for named entity recognition and event extraction.
A research project focused on open-world object detection using continual and contrastive learning techniques.
A multimodal large language model series for Chinese and English AI-powered coding and painting tools.
A learning platform that leverages LLMs to assist students, scholars, and lifelong learners.
A Python library based on PaddlePaddle for developing virtual anchors (vtubers) with AI tools.
Facebook's extensions to the Torch/CUNN deep learning framework, primarily for GPU-accelerated neural network computations.
A privacy-focused middleware for AI-powered applications built on trusted execution environments like Intel SGX.
A general SLAM framework supporting different sensors and methods for 3D reconstruction and localization.
A zero-shot multi-speaker text-to-speech (TTS) and voice conversion library for developers.
An open-source corpus dataset for chatbots and question-answering systems in the insurance domain.
A C++ library for trajectory optimization of legged robots, useful for robotics and motion planning.
This GitHub repository contains seminars from the DeepBayes Summer School 2018, focused on Bayesian deep learning and variational inference.
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