deep-learning

A unified, comprehensive and efficient recommendation library

Curated tutorials and resources for Large Language Models, AI Painting, and more.

Lightning fast C++/CUDA neural network framework

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

【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。

[ICCV 2019] Monocular depth estimation from a single image

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

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

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

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

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)

A curated list of awesome data labeling tools

A library for scientific machine learning and physics-informed learning

Simplify your onnx model

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

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

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

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

Data Science Roadmap from A to Z

NeuralProphet: A simple forecasting package

LPIPS metric. pip install lpips

Scalable and user friendly neural :brain: forecasting algorithms.

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

Pytorch 中文文档

Foundational model for human-like, expressive TTS

Visual localization made easy with hloc

ChatGPT资料汇总学习，持续更新......