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Production-Level-Deep-Learning 是一个 AI 工具，用于人工智能方向的建模与推理。

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

TNN 是用 C++ 编写的学习资料，用于系统学习与查阅，主打高性能、跨平台、开源免费。

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguish…

Deep-reinforcement-learning-with-pytorch 是用 Python 编写的学习资料，用于系统学习与查阅。

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deep-learning-roadmap 是用 Python 编写的学习资料，用于系统学习与查阅。

:satellite: All You Need to Know About Deep Learning - A kick-starter

BEVFormer 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection a…

autotrain-advanced 是用 Python 编写的学习资料，用于系统学习与查阅。

🤗 AutoTrain Advanced

《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣

《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣

tree-of-thoughts 是用 Python 编写的 AI 工具，用于大模型与智能体应用开发。

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

RecBole 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打功能完整。

A unified, comprehensive and efficient recommendation library

Awesome-AIGC-Tutorials 是一个 AI 工具，用于人工智能方向的建模与推理。

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

ClearerVoice-Studio 是用 Python 编写的学习资料，用于系统学习与查阅，主打开源免费。

An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extrac…

tiny-cuda-nn 是用 C++ 编写的 AI 工具，用于人工智能方向的建模与推理，主打速度快。

Lightning fast C++/CUDA neural network framework

alpha-zero-general 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。

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

monodepth2 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。

[ICCV 2019] Monocular depth estimation from a single image

TensorFlow-World 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打易用。

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

DeepKE 是用 Python 编写的学习资料，用于系统学习与查阅。

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

deep-high-resolution-net.pytorch 是用 Cuda 编写的学习资料，用于系统学习与查阅。

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

deepxde 是用 Python 编写的学习资料，用于系统学习与查阅。

A library for scientific machine learning and physics-informed learning

img2dataset 是用 Python 编写的学习资料，用于系统学习与查阅。

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

llm-foundry 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

LLM training code for Databricks foundation models

MachineLearningNotebooks 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

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

probability 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。

Probabilistic reasoning and statistical analysis in TensorFlow

awesome-RLHF 是一个学习资料，用于系统学习与查阅。

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

VoTT 是用 TypeScript 编写的学习资料，用于系统学习与查阅。

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.