dr-irani

dr-irani's Stars

• mamba-org/mamba

  The Fast Cross-Platform Package Manager

  Language:C++6.8k349

• tylerjrichards/streamlit_goodreads_app

  Language:Python81101

• Data4Democracy/read-this-first

  Start here!

  42345

• fairlearn/fairlearn

  A Python package to assess and improve fairness of machine learning models.

  Language:Python1.9k414

• mydailytikz/daily_TikZ

  15

• skrub-data/skrub

  Prepping tables for machine learning

  Language:Python1.2k97

• BrianWeinstein/state-of-the-union

  A dataset of transcripts from every State of the Union (SOTU) address

  Language:R131

• antonisa/lang2vec

  A simple library for querying the URIEL typological database.

  Language:Python8816

• neulab/langrank

  A program to choose transfer languages for cross-lingual learning

  Language:Python7019

• raziehna/fair-inference-on-outcomes

  Language:C++32

• sshaar/That-is-a-Known-Lie

  Main GIt repo for the ACL paper "That is a Known Lie: Detecting Previously Fact-Checked Claims"

  233

• firojalam/crisis-embedding-models

  Embedding models designed using crisis related tweets collected by AIDR (http://aidr.qcri.org/)

  Language:Python3

• ocrmypdf/OCRmyPDF

  OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched

  Language:Python13.8k1k

• mihail911/nlp-library

  curated collection of papers for the nlp practitioner 📖👩‍🔬

  1.1k91

• neonwatty/autograd_tutorials

  A set of autograd tutorial notebooks

  Language:Jupyter Notebook72

• tensorflow/lucid

  A collection of infrastructure and tools for research in neural network interpretability.

  Language:Jupyter Notebook4.7k655

• utkuozbulak/pytorch-cnn-visualizations

  Pytorch implementation of convolutional neural network visualization techniques

  Language:Python7.8k1.5k

• davidbau/how-to-read-pytorch

  Quick, visual, principled introduction to pytorch code through five colab notebooks.

  Language:Jupyter Notebook38463

• py-why/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.

  Language:Python7k926

• hurshd0/colab_notebook_to_pdf

  Converts colab notebooks to pdfs 📙 👉 📄

  Language:Python21

• kpu/kenlm

  KenLM: Faster and Smaller Language Model Queries

  Language:C++2.5k512

• rmehta004/ta

  Teaching Assistant materials, such as section notes, homework solutions, texts, papers, and anything else useful.

  Language:TeX61

• openreferral/sample-HSDS-datapackage

  Sample data using the HSDS specification

  115

• MLforHealth/MIMIC_Extract

  MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

  Language:Jupyter Notebook404122

• MIT-LCP/mimic-code

  MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

  Language:Jupyter Notebook2.6k1.5k

• allenai/scibert

  A BERT model for scientific text.

  Language:Python1.5k217

• MLforHealth/HurtfulWords

  Quantifying biases in BERT embeddings pretrained on MIMIC-III clinical notes

  Language:Python209

• thombashi/ghscard

  A JavaScript widget to generate interactive GitHub user/repository/organization cards for static web pages (like GitHub pages).

  Language:JavaScript10

• christopherkuemmel/ml-core

  This repo contains notes for my own educational purpose

  Language:Jupyter Notebook1

• tonsky/FiraCode

  Free monospaced font with programming ligatures

  Language:Clojure76.9k3.1k