Bharat Raghunathan's repositories
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Applied-Deep-Learning
Applied Deep Learning
awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
awesome-notebooks
+100 awesome Jupyter Notebooks templates, organized by tools, published by the Naas community, to kickstart your data projects in minutes. 😎
BertSum
Code for paper Fine-tune BERT for Extractive Summarization
BIG-bench
Beyond the Imitation Game collaborative benchmark for enormous language models
CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
datasets
Datasets and evaluation metrics for Natural Language Processing in NumPy, Pandas, PyTorch and TensorFlow
docs
TensorFlow documentation
ecco
Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2).
GLUECoS
A benchmark for code-switched NLP, ACL 2020
indic-trans
The project aims on adding a state-of-the-art transliteration module for cross transliterations among all Indian languages including English.
jmeter
Apache JMeter
lm-human-preferences
Code for the paper Fine-Tuning Language Models from Human Preferences
MadeWithML
Learn how to responsibly deliver value with ML.
minnn-assignment
An assignment on creating a minimalist neural network toolkit for CS11-747
ml-interviews-book
https://huyenchip.com/ml-interviews-book/
ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
pytorchvideo
A deep learning library for video understanding research.
scipy
Scipy library main repository
self-attentive-parser
High-accuracy NLP parser with models for 11 languages.
semantic-search
[WIP] Behold, semantic-search, built over sentence-transformers to make it easy for search engineers to evaluate, optimise and deploy models for search.
sentiment-analysis-nltk
Python Sentiment Analysis using NLTK
xai
XAI - An eXplainability toolbox for machine learning