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auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datasciencepython

common data analysis and machine learning tasks using python

deeplearning-models

A collection of various deep learning architectures, models, and tips

dhs2019_hacksession_nlp

Codes used for the hack session in DHS 2019

eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

fortyone

Machine Learning begins with Human Learning

hith100

My 100 Days of ML Code Challenge Repository. Note: I stopped updating in the blogger site. The days after 100 days are documented in another repository.

kaggle

Codes for Kaggle Competitions

kaggletils

keras-retinanet-for-open-images-challenge-2018

Code for 15th place in Kaggle Google AI Open Images - Object Detection Track

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

machine-learning-with-python

Python code for common Machine Learning Algorithms

machinehack

madewithml

Learn how to responsibly deliver value with ML.

metrics

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

ml

Codes related to various ML Hackathons

ml-cli

Ml-Cli is a command line and local tool that aims to automate ML testing and provide annotation tools

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

stat479-machine-learning-fs19

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

zf_unet_224_pretrained_model

Modification of convolutional neural net "UNET" for image segmentation in Keras framework