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⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Learn OpenCV : C++ and Python Examples
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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。
This repository contains the source code for the paper First Order Motion Model for Image Animation
Natural Language Processing Tutorial for Deep Learning Researchers
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
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》)
《Python Cookbook》 3rd Edition Translation
Practice your pandas skills!
YSDA course in Natural Language Processing
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
TensorFlow Tutorials with YouTube Videos
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
My blogs and code for machine learning. http://cnblogs.com/pinard
Taming Transformers for High-Resolution Image Synthesis
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
《统计学习方法》笔记-基于Python算法实现
Code for Motion Representations for Articulated Animation paper
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, …
吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course
李宏毅2021机器学习深度学习笔记PPT作业