Jack Stark's repositories
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
awesome-python-applications
💿 Free software that works great, which also happens to be open-source Python.
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Computer-operating-system-notes
计算机操作系统慕课笔记
cs229t
Statistical Learning Theory (CS229T) Lecture Notes
CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
deep-imitation-dev
deep imitation
deepo
A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.
generative-models
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
imbalanced-dataset-sampler
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
Improved-Regularization-of-CNN-with-Cutout
2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
jupyter-themes
Custom Jupyter Notebook Themes
kaggle
Kaggle 项目实战（教程） = 文档 + 代码 + 视频
keras-resnet
Keras package for deep residual networks
keras_ensemble_cifar10
3.47% on CIFAR-10
models
cifar10 98.52% accuracy https://arxiv.org/pdf/1805.09501.pdf
nlp_course
YSDA course in Natural Language Processing
pmdarima
Pyramid brings R's beloved auto.arima to Python, making an even stronger case for why you don't need R for data science.
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
ResidualAttentionNetwork-gluon
A Gluon implement of Residual Attention Network
TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow TensorFlow教程
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs TensorFlow教程 适合初学者使用
WGAN-TensorFlow
Wasserstein GAN TensorFlow Implementation