HarryTanME's repositories
advanced-text-analysis-workshop-2017
Materials for the workshop Advanced Text Analysis with SpaCy and Scikit-Learn, given at NYU during NYCDH Week 2017.
binderhub
Deterministically build docker images from a git repository + commit
courses
fast.ai Courses
data-science-your-way
Ways of doing Data Science Engineering and Machine Learning in R and Python
DataScienceR
a curated list of R tutorials for Data Science, NLP and Machine Learning
docker-stacks
Opinionated stacks of ready-to-run Jupyter applications in Docker.
dockerspawner
Spawns JupyterHub single user servers in Docker containers
fast-style-transfer
TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
jupyterhub
Multi-user server for Jupyter notebooks
kubespawner
Kubernetes spawner for JupyterHub
ML_for_Hackers
Code accompanying the book "Machine Learning for Hackers"
models
Models and examples built with TensorFlow
Practical_DL
DL course taught by Victor Lempitsky
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pycon-nlp-in-10-lines
Repository for PyCon 2016 workshop Natural Language Processing in 10 Lines of Code
pyspark-churn-prediction
Churn Prediction with PySpark using MLlib and ML Packages
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
quizzo_web_component
An Open Source web component for your json quizzes.
research_public
Quantitative research and educational materials
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
show-me-chatgpt-plugin
Create and edit diagrams in ChatGPT
spark-py-notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Stanford_cs224d
Here is the assignments code for Stanford cs224d course, deep learning for NLP, http://cs224d.stanford.edu
Stanford_cs231n
This repo holds the assignments for Stanford CS231N course in 2017, http://cs231n.stanford.edu.
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
tsfresh
Automatic extraction of relevant features from time series: