Statistics for topic pytorch-tutorial
RepositoryStats tracks 518,986 Github repositories, of these 60 are tagged with the pytorch-tutorial topic. The most common primary language for repositories using this topic is Jupyter Notebook (28). Other languages include: Python (27)
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A resource for learning about Machine learning & Deep Learning
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
A resource for learning about Machine learning & Deep Learning
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Attention Is All You Need | a PyTorch Tutorial to Transformers
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
This repository contains the collection of explorative notebooks pure in python and in the language that we, humans can read. Have tried to compile all lectures from the Andrej Karpathy's 💎 playlist ...
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
A resource for learning about Machine learning & Deep Learning
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
Attention Is All You Need | a PyTorch Tutorial to Transformers
This repository contains the collection of explorative notebooks pure in python and in the language that we, humans can read. Have tried to compile all lectures from the Andrej Karpathy's 💎 playlist ...
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processing.
A resource for learning about Machine learning & Deep Learning
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
Attention Is All You Need | a PyTorch Tutorial to Transformers
The full collection of all codes for my Youtube Channel segregated as per topic.
a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.
splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processing.