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1804_python_healthcare

pdf, py, and jupyter notebook files for https://pythonhealthcare.org/

adpkd-segmentation-pytorch

Segmentation of kidneys on MRI in Autosomal Dominant Polycystic Kidney

aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

aix360

Interpretability and explainability of data and machine learning models

algorithms-in-python

All Algorithms implemented in Python

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

annotated-transformer

http://nlp.seas.harvard.edu/2018/04/03/attention.html

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

autoviz

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

awesome-fairness-in-ai

A curated list of awesome Fairness in AI resources

awesome-zero-shot-learning

A curated list of papers, code and resources pertaining to zero shot learning

bayesian-marketing-mix-modeling

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

benchmark_vae

Unifying Generative Autoencoder implementations in Python

bert-tensorflow

original Google AI BERT repro (Tensorflow) with TPU Tensorboard logging and LAMB optimizer

bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

chexbert

Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

chexseg

Code used in the paper "CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation"

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

covid-qa

API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources.

data-science-journal

Personal repository of data science demonstrations and references

dataprep

DataPrep — The easiest way to prepare data in Python

deepad-from-cloudera-ff-labs

Deep Learning for Anomaly Deteection

deepliif

Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22]

deepsearch-toolkit

Interact with the DeepSearch platform for new knowledge explorations and discoveries - Peter Starr IBM

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

engineering-class

Lightning Bits: Engineering for Researchers repo

farm

:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

fastai

The fastai deep learning library

fasttext

Library for fast text representation and classification.

git-tutorial1