scigeek72's Stars
microsoft/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
aburkov/theMLbook
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Shivanandroy/Study-Materials
rushter/data-science-blogs
A curated list of data science blogs
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Jupyter-contrib/jupyter_nbextensions_configurator
A jupyter notebook serverextension providing config interfaces for nbextensions.
xbresson/spectral_graph_convnets
PyTorch implementation of spectral graph ConvNets, NeurIPS’16
dunovank/jupyter-themes
Custom Jupyter Notebook Themes
jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
fastai/fastai_dev
fast.ai early development experiments
fastai/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
sgfin/sgfin.github.io_old
Sam Finlayson's Academic blog
tensorflow/workshops
A few exercises for use at events.
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
mml-book/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
fastai/fastprogress
Simple and flexible progress bar for Jupyter Notebook and console
kojino/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
WillKoehrsen/machine-learning-project-walkthrough
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
WillKoehrsen/hyperparameter-optimization
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
sryza/spark-timeseries
A library for time series analysis on Apache Spark
rlbarter/Practical-Statistics
Auquan/Tutorials
Ipython notebooks for math and finance tutorials
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
kojino/data-structures-algorithms
Problems in data structures and algorithms.
bayesian-optimization/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
hundredblocks/concrete_NLP_tutorial
An NLP workshop about concrete solutions to real problems
endymecy/awesome-deeplearning-resources
Deep Learning and deep reinforcement learning research papers and some codes