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Name: Subrata Chatterjee
Type: User
Company: Independent
Location: Naperville, Illinois
Name: Subrata Chatterjee
Type: User
Company: Independent
Location: Naperville, Illinois
pdf, py, and jupyter notebook files for https://pythonhealthcare.org/
Segmentation of kidneys on MRI in Autosomal Dominant Polycystic Kidney
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.
Interpretability and explainability of data and machine learning models
All Algorithms implemented in Python
This is Andrew NG Coursera Handwritten Notes.
http://nlp.seas.harvard.edu/2018/04/03/attention.html
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
A curated list of awesome Fairness in AI resources
A curated list of papers, code and resources pertaining to zero shot learning
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Unifying Generative Autoencoder implementations in Python
original Google AI BERT repro (Tensorflow) with TPU Tensorboard logging and LAMB optimizer
Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
Code used in the paper "CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation"
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
API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources.
Personal repository of data science demonstrations and references
DataPrep — The easiest way to prepare data in Python
Deep Learning for Anomaly Deteection
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22]
Interact with the DeepSearch platform for new knowledge explorations and discoveries - Peter Starr IBM
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.
Lightning Bits: Engineering for Researchers repo
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
The fastai deep learning library
Library for fast text representation and classification.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.