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pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

projects

pycon-2018-tutorial

Using pandas for Better (and Worse) Data Science

pymlslides

Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book

python

All Algorithms implemented in Python

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

python-slackclient

Slack Developer Kit for Python

python_notes

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch_wavelets

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT)

r

random-forest-training

Materials for Random Forests training

rich

Rich is a Python library for rich text and beautiful formatting in the terminal.

river

🌊 Online machine learning in Python

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

sktime

A unified framework for machine learning with time series

sonnet

TensorFlow-based neural network library

stacknn

A PyTorch implementation of differentiable stacks for use in neural networks.

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

statistical-methods---applied-mathematics-in-data-science

Statistical Methods & Applied Mathematics in Data Science, Published by Packt

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

tcpprobe

Modern TCP tool and service for network performance observability.

tensorwatch

Debugging, monitoring and visualization for Python Machine Learning and Data Science

tf-nlp-blocks

Some frequently used NLP blocks I implemented

tfcausalimpact

Google's Causal Impact Algorithm Implemented on Top of TensorFlow Probability

thinkbayes2

Text and code for the second edition of Think Bayes, by Allen Downey.

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

trfl

TensorFlow Reinforcement Learning