scigeek72's Stars
bckenstler/CLR
mancap314/miscellanous
FALCONN-LIB/FALCONN
FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)
pixelogik/NearPy
Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.
chrisvoncsefalvay/learn-julia-the-hard-way
Learn Julia the hard way!
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
fivethirtyeight/russian-troll-tweets
udacity/deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
ardendertat/Applied-Deep-Learning-with-Keras
Deep Learning examples with Keras.
keras-team/keras
Deep Learning for humans
LiDan456/MAD-GANs
Applied generative adversarial networks (GANs) to do anomaly detection for time series data
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
zihangdai/xlnet
XLNet: Generalized Autoregressive Pretraining for Language Understanding
akafengfeng/AI_Security
This is a paper list about Machine Learning for IDSes
aapatel09/handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
soumith/ganhacks
starter from "How to Train a GAN?" at NIPS2016
houssamzenati/Efficient-GAN-Anomaly-Detection
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
JuliaAI/MLJ.jl
A Julia machine learning framework
paraklas/GPTutorial
A hands-on tutorial on supervised learning with Gaussian processes
dfm/gp
A tutorial about Gaussian process regression
plaidml/plaidml
PlaidML is a framework for making deep learning work everywhere.
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
eswar3/Zillow-prediction-models
Machine Learning Project using Kaggle dataset
rasbt/mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
HIPS/Spearmint
Spearmint Bayesian optimization codebase
hyperopt/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
krasserm/machine-learning-notebooks
Stanford Machine Learning course exercises implemented with scikit-learn
krasserm/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning