kmario23/deep-learning-drizzle - 竞品分析

37.9k 11.2k

吴恩达机器学习课程个人笔记

HTML machine-learning

Java deep-learning machine-learning

40%

+15

janishar/mit-deep-learning-book-pdf

直接竞品

14.1k 2.9k

伊恩·古德费洛、约书亚·本吉奥和亚伦·库维尔合著的MIT深度学习书籍PDF格式（完整版及分册）

Jupyter Notebook deep-learning machine-learning

37%

fastai/fastai

直接竞品

28.2k 7.6k

fastai深度学习库

34%

chiphuyen/machine-learning-systems-design

10.7k 1.6k

关于机器学习系统设计和练习的小册子。不是“设计机器学习系统”一书的存储库，它是“dmls-book”

pytorch/pytorch

Python deep-learning machine-learning

104.7k 32.2k

支持GPU强力加速的Python张量与动态神经网络库

27%

+529

microsoft/qlib

Python deep-learning machine-learning

48.2k 7.6k

Qlib是一款面向AI的量化投资平台，其目标是从创意探索到生产部署的全流程，通过人工智能技术赋能量化研究。该平台支持多种机器学习建模范式，包括监督学习、市场动态建模和强化学习，并现已集成https://github.com/microsoft/RD-Agent以实现研发流程的自动化。

27%

+51

Unity-Technologies/ml-agents

C# deep-learning deep-reinforcement-learning machine-learning reinforcement-learning

19.8k 4.5k

Unity机器学习代理工具包（ML-Agents）是一个开源项目，能让游戏和模拟场景成为训练智能代理的环境，支持深度强化学习与模仿学习。

27%

mrdbourke/pytorch-deep-learning

Jupyter Notebook deep-learning machine-learning

19.4k 5.2k

《PyTorch深度学习：从零到精通》课程资料

Jupyter Notebook computer-vision deep-learning speech-recognition

+17

NVIDIA/DeepLearningExamples

直接竞品

14.8k 3.4k

按模型组织的尖端深度学习脚本——易于在企业级基础设施上进行训练和部署，并具备可复现的准确性与性能。

onnx/models

Jupyter Notebook deep-learning

9.6k 1.6k

一组采用ONNX格式的预训练尖端模型

MITDeepLearning/introtodeeplearning

Jupyter Notebook computer-vision deep-learning deep-reinforcement-learning

8.8k 4.6k

麻省理工学院6.S191课程实验材料：深度学习导论

tensorflow/docs

Jupyter Notebook deep-learning deep-neural-networks machine-learning

6.3k 5.3k

TensorFlow 文档

Unstructured-IO/unstructured

HTML deep-learning machine-learning natural-language-processing

15.6k 1.4k

轻松将文档转换为结构化数据。Unstructured是开源的ETL解决方案，可将复杂文档转换为适合语言模型的整洁结构化格式。访问我们的网站了解企业级平台产品，支持生产级工作流、分区、增强、分块和嵌入。

25%

+16

labmlai/annotated_deep_learning_paper_implementations

Python deep-learning machine-learning reinforcement-learning

67.7k 6.8k

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠