Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Tensorflow | 177,786 | 327 | 77 | an hour ago | 46 | October 23, 2019 | 2,055 | apache-2.0 | C++ | |
An Open Source Machine Learning Framework for Everyone | ||||||||||
Transformers | 112,366 | 64 | 1,869 | an hour ago | 114 | July 18, 2023 | 820 | apache-2.0 | Python | |
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. | ||||||||||
Pytorch | 71,055 | 3,341 | 6,728 | an hour ago | 37 | May 08, 2023 | 12,781 | other | Python | |
Tensors and Dynamic neural networks in Python with strong GPU acceleration | ||||||||||
Cs Video Courses | 60,215 | 4 days ago | 5 | |||||||
List of Computer Science courses with video lectures. | ||||||||||
Keras | 59,409 | 578 | 2 hours ago | 80 | June 27, 2023 | 88 | apache-2.0 | Python | ||
Deep Learning for humans | ||||||||||
D2l Zh | 48,273 | 1 | 1 | 8 days ago | 47 | December 15, 2022 | 48 | apache-2.0 | Python | |
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。 | ||||||||||
Faceswap | 47,035 | 10 days ago | 23 | gpl-3.0 | Python | |||||
Deepfakes Software For All | ||||||||||
Tensorflow Examples | 42,312 | a year ago | 218 | other | Jupyter Notebook | |||||
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) | ||||||||||
Deepfacelab | 42,238 | 25 days ago | 536 | gpl-3.0 | Python | |||||
DeepFaceLab is the leading software for creating deepfakes. | ||||||||||
Yolov5 | 41,807 | 11 hours ago | 8 | September 21, 2021 | 226 | agpl-3.0 | Python | |||
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite |
吴恩达在Coursera上推出的“深度学习专项课程“引起了一波AI学习热潮,而自发布以来,国内学习者对于课程汉化的呼声也从未停止。前些天,网易云课堂终于官方发布了经过授权的汉化课程
├─01神经网络和深度学习
│ ├─Code编程作业
│ └─Quiz测验题
├─02改善深度神经网络
│ ├─Code编程作业
│ └─Quiz测验题
├─03结构化机器学习项目
│ ├─Code编程作业
│ └─Quiz测验题
├─04卷积神经网络
│ ├─Code编程作业
│ └─Quiz测验题
├─05序列模型
│ ├─Code编程作业
│ └─Quiz测验题
持续更新中... ...
此外,代码仅作学习深度学习专项课程(Deep Learning Specialization on Coursera)所用,代码和笔记禁止私用,违者必究
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