TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.
- tensorflow
- tensorflow2
- deeplearning
- machinelearning
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TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
TranslatedChinese translation of wtfpython / ongoing 🚧... / My ability is limited, you are welcome to help me improve the translation
The "Python Machine Learning (1st edition)" book code repository and info resource
Solve puzzles. Learn CUDA.
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
《Python Cookbook》 3rd Edition Translation
This repository contains demos I made with the Transformers library by HuggingFace.
PRML algorithms implemented in Python
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of May, 2022.
Public facing notes page
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
YSDA course in Natural Language Processing
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
TensorFlow Tutorials with YouTube Videos
TensorFlow examples
Toturials coming with the "data science roadmap" picture.
A course in reinforcement learning in the wild
Simple tutorials using Google's TensorFlow Framework
From the basics to slightly more interesting applications of Tensorflow
links to conference publications in graph-based deep learning
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Lectures on scientific computing with python, as IPython notebooks.