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An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.

A unified, comprehensive and efficient recommendation library

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

Lightning fast C++/CUDA neural network framework

Tengine is a lite, high performance, modular inference engine for embedded device

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

PyTorch ,ONNX and TensorRT implementation of YOLOv4

[ICCV 2019] Monocular depth estimation from a single image

A library for scientific machine learning and physics-informed learning

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

:earth_americas: Simple and ready-to-use tutorials for TensorFlow

TensorFlow Basic Tutorial Labs

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

LLM training code for Databricks foundation models

:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

A curated list of awesome data labeling tools

Probabilistic reasoning and statistical analysis in TensorFlow

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

A curated list of reinforcement learning with human feedback resources (continually updated)

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

Data Science Roadmap from A to Z

Simplify your onnx model

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Papers on Computational Advertising

PyTorch深度学习快速入门教程（绝对通俗易懂！）

⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

Massively Parallel Deep Reinforcement Learning. 🔥

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

A JavaScript deep learning and reinforcement learning library.

The Hugging Face course on Transformers

Serve, optimize and scale PyTorch models in production

Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning and more with this complete 0 to 100 repository.

Scalable and user friendly neural :brain: forecasting algorithms.

NeuralProphet: A simple forecasting package

LPIPS metric. pip install lpips

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

Visual localization made easy with hloc

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Code examples in pyTorch and Tensorflow for CS230

Pytorch 中文文档

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

Deep Learning GPU Training System

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

🔥 A library for cropping image in a smart way that can identify the border and correct the cropped image. 智能图片裁剪框架。自动识别边框，手动调节选区，使用透视变换裁剪并矫正选区；适用于身份证，名片，文档等照片的裁剪。

Quant/Algorithm trading resources with an emphasis on Machine Learning

A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm