Bharat Raghunathan (Bharat123rox)

Bharat123rox

Geek Repo

Company:Mad Street Den

Location:Chennai

Home Page:https://eportfolio.mygreatlearning.com/bharat-raghunathan

Twitter:@BharatR123

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Bharat Raghunathan's repositories

eXplAIners

Steps and Explorations to Interpretable / Explainable AI

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academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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Applied-Deep-Learning

Applied Deep Learning

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applied-ml

๐Ÿ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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applyingml

๐Ÿ“Œ Papers, guides, and mentor interviews on applying machine learning.

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awesome-notebooks

+100 awesome Jupyter Notebooks templates, organized by tools, published by the Naas community, to kickstart your data projects in minutes. ๐Ÿ˜Ž

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BIG-bench

Beyond the Imitation Game collaborative benchmark for enormous language models

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BioELECTRA

BioELECTRA

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CausalDiscoveryToolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

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code-snippets

ServiceNow's Code Snippets community repository, managed by the Developer Program and the sndevs Slack community.

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commonsense-dialogues

A crowdsourced dataset of dialogues grounded in social contexts involving utilization of commonsense.

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DailyNews

Trending news headlines fetcher

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fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

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GLUECoS

A benchmark for code-switched NLP, ACL 2020

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grafana

The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

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hydra

Hydra is a framework for elegantly configuring complex applications

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jina

Cloud-native neural search framework for ๐™–๐™ฃ๐™ฎ kind of data

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jmeter

Apache JMeter

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lm-human-preferences

Code for the paper Fine-Tuning Language Models from Human Preferences

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MadeWithML

Learn how to responsibly deliver value with ML.

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mixed-naive-bayes

Naive Bayes with categorical and continuous data

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ml-interviews-book

https://huyenchip.com/ml-interviews-book/

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ml-surveys

๐Ÿ“‹ Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

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networkx

Network Analysis in Python

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pytorchvideo

A deep learning library for video understanding research.

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sdk-for-dotnet

[READ-ONLY] Official Appwrite .NET SDK

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self-attentive-parser

High-accuracy NLP parser with models for 11 languages.

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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.

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thermostat

Collection of NLP model explanations and accompanying analysis tools

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