enthogenesis's Stars
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
MrGiovanni/ModelsGenesis
[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis
BrendaHali/python_cheat_sheets
KalleHallden/FinanceAutomation
catboost/tutorials
CatBoost tutorials repository
hyperopt/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
amueller/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
amueller/ml-workshop-1-of-4
Introduction to Machine learning with Python, 4h interactive workshop
PhantomInsights/mexican-government-report
Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.
knathanieltucker/pandas-tutorial
An opinoinated pandas tutorial for data scientists
mrdbourke/your-first-kaggle-submission
How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.
electronut/pp
Code for book Python Playground by Mahesh Venkitachalam (No Starch Press, USA)
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
geohot/twitchchess
like twitchslam, for chess
danijar/handout
Turn Python scripts into handouts with Markdown and figures
parrt/random-forest-importances
Code to compute permutation and drop-column importances in Python scikit-learn models
parrt/lolviz
A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations
manicman1999/Keras-BiGAN
BiGAN implementation in Keras to detect similarities in Landscapes.
robertmanriquez/webinars_old
llSourcell/Watch-Me-Build-an-Education-Startup
This is the code for "Watch Me Build an Education Startup" by Siraj Raval on Youtube
BlackHC/tfpyth
Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).
ColumbiaEdX/EdXBusinessAnalytics
EdX Business Analytics, Columbia University, week 8, nyc 311 data
OATML/bdl-benchmarks
Bayesian Deep Learning Benchmarks
autonomio/talos
Hyperparameter Experiments with TensorFlow and Keras
tensorflow/graphics
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
vaexio/vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
tryolabs/luminoth
Deep Learning toolkit for Computer Vision.
NVIDIA/DIGITS
Deep Learning GPU Training System
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
zhiwehu/Python-programming-exercises
100+ Python challenging programming exercises