Felix Yao's starred repositories
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
studyFiles
一些电子书pdf
awesome-programming-books
📚 经典技术书籍推荐，持续更新...
convnet-burden
Memory consumption and FLOP count estimates for convnets
pytorch_image_classification
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
deeplearning-models
A collection of various deep learning architectures, models, and tips
python-cheatsheet
Comprehensive Python Cheatsheet
torch-toolbox
🛠 Toolbox to extend PyTorch functionalities
Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Meta-Learning-Papers
A classified list of meta learning papers based on realm.
Python-Toolkit
轮子/ 常用库/ 书籍笔记/ 小程序
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
PyTorch-From-Zero-To-One
PyTorch从入门到精通
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
pycodestyle
Simple Python style checker in one Python file
python-guide
Python best practices guidebook, written for humans.
free-python-books
Python books free to read online or download
clean-code-python
:bathtub: Clean Code concepts adapted for Python
google-research
Google Research
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
meta-learning-progress
Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.
delete-github-forks
🍴 Bulk delete your GitHub forks in two simple steps!