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deep-review

A collaboratively written review paper on deep learning, genomics, and precision medicine

deeplearningimplementations

Implementation of recent Deep Learning papers

differential-privacy-tensorflow

Samples of multi-class text classification with Differential Privacy Tensorflow 2.0

dmls-book

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

entity-recognition-datasets

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

face-identification-tpe

Face identification with CNN + TPE using Keras

face_recognition

The world's simplest facial recognition api for Python and the command line

facenet

Face recognition using Tensorflow

fastbook

The fastai book, published as Jupyter Notebooks

federated

A framework for implementing federated learning

gensim

Topic Modelling for Humans

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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.

infersent

Sentence embeddings (InferSent) and training code for NLI.

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

ipython-notebooks

A collection of IPython notebooks covering various topics.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

jupyter-themes

Custom Jupyter Notebook Themes

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

keras-gan

Keras implementations of Generative Adversarial Networks.

kge

Some papers on Knowledge Graph Embedding(KGE)

lectures

Oxford Deep NLP 2017 course

likelihood-ratio-imbalance-degree

A new metric to measure multi-class imbalance degree of data using likelihood ratio test based on the paper LRID by Rui Zhu et. al.

med7

ml-powered-applications

Companion repository for the book Building Machine Learning Powered Applications

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

netanos

NETANOS: Named entity-based Text Anonymization for Open Science'

nlp-datasets

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

patrec2015

Pattern recognition course in LUT

plmpapers

Must-read Papers on pre-trained language models.