Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
FMA: A Dataset For Music Analysis
computer vision projects | 计算机视觉相关好玩的AI项目(Python、C++、embedded system)
🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
Automatically remove the mosaics in images and videos, or add mosaics to them.
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/adv...
The PyTorch-based audio source separation toolkit for researchers
Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
NLP made easy
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
Unofficial implemention of lanenet model for real time lane detection
A PyTorch Library for Multi-Task Learning
Automatic architecture search and hyperparameter optimization for PyTorch
This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
Desktop app for automatically translating comics - BDs, Manga, Manhwa, Fumetti and more in a variety of formats (Image, Pdf, Epub, cbr, cbz, etc) and...
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
Pytorch domain library for recommendation systems
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
YoloV3 Implemented in Tensorflow 2.0
Time Series Forecasting Best Practices & Examples
Collection of popular and reproducible image denoising works.
Summaries of machine learning papers
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,...
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2...
A collection of awesome resources in Human Pose estimation.
一个高质量、经典计算机书籍推荐清单,特点为:只收集高质量,各方向经典书籍,不求书多,只求书精。
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
A toolkit to run Ray applications on Kubernetes
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking (CTR/CVR...
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.o...
Graphormer is a general-purpose deep learning backbone for molecular modeling.
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
A curated list of community detection research papers with implementations.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Machine Learning University: Accelerated Natural Language Processing Class
:computer:深度学习实战:手写数字识别、Discuz验证码识别、垃圾分类、语义分割
Scenarios, tutorials and demos for Autonomous Driving
Machine learning metrics for distributed, scalable PyTorch applications.
YOLO ROS: Real-Time Object Detection for ROS
Datasets, tools, and benchmarks for representation learning of code.
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
A repo for data science related questions and answers
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friend...
SDG is a specialized framework designed to generate high-quality structured tabular data.