kotalaraghava

kotalaraghava's Stars

• openai/evals

  Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

  Language:Python14.9k2.6k

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX59.3k9.4k

• promptslab/Promptify

  Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

  Language:Jupyter Notebook3.2k240

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML112k15.3k

• modin-project/modin

  Modin: Scale your Pandas workflows by changing a single line of code

  Language:Python9.8k651

• iterative/dvc

  🦉 Data Versioning and ML Experiments

  Language:Python13.7k1.2k

• doccano/doccano

  Open source annotation tool for machine learning practitioners.

  Language:Python9.5k1.7k

• mhw32/data-centric-deep-learning

  Public repository for the "Data-Centric Deep Learning" course taught by Mike Wu and Andrew Maas. Available at https://corise.com/course/data-centric-deep-learning.

  Language:Python30155

• gradio-app/gradio

  Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

  Language:Python33.3k2.5k

• iamtrask/Grokking-Deep-Learning

  this repository accompanies the book "Grokking Deep Learning"

  Language:Jupyter Notebook7.4k1.6k

• mimoralea/gdrl

  Grokking Deep Reinforcement Learning

  Language:Jupyter Notebook808233

• kmario23/deep-learning-drizzle

  Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

  Language:HTML12.2k2.9k

• rohitshantarampatil/sql-nlp

  Language:Jupyter Notebook53

• alirezadir/Machine-Learning-Interviews

  This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

  Language:Jupyter Notebook4.6k819

• ServiceNow/picard

  PICARD - Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. PICARD is a ServiceNow Research project that was started at Element AI.

  Language:Haskell343122

• shreyashankar/gpt3-sandbox

  The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.

  Language:JavaScript2.9k883

• g8a9/ferret

  A python package for benchmarking interpretability techniques on Transformers.

  Language:Python20916

• marcotcr/checklist

  Beyond Accuracy: Behavioral Testing of NLP models with CheckList

  Language:Jupyter Notebook2k204

• NeuroSYS-pl/coreference-resolution

  Coreference Resolution

  Language:Jupyter Notebook7315

• salesforce/OmniXAI

  OmniXAI: A Library for eXplainable AI

  Language:Jupyter Notebook87093

• nfflow/redditflow

  Do everything from data collection from reddit to training a machine learning model in just two lines of python code!

  Language:Python829

• bhavsarpratik/easy-transformers

  Utility functions to work with transformers

  Language:Python102

• microsoft/nlp-recipes

  Natural Language Processing Best Practices & Examples

  Language:Python6.4k918

• thunlp/OpenNRE

  An Open-Source Package for Neural Relation Extraction (NRE)

  Language:Python4.3k1.1k

• roomylee/awesome-relation-extraction

  📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

  1.2k136

• jalammar/ecco

  Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

  Language:Jupyter Notebook2k168

• PacktPublishing/Applied-Machine-Learning-Explainability-Techniques

  Applied Machine Learning Explainability Techniques, published by Packt

  Language:Jupyter Notebook23797

• khangich/machine-learning-interview

  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

  9.5k1.6k

• sebastianruder/NLP-progress

  Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

  Language:Python22.6k3.6k

• chiphuyen/ml-interviews-book

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

  Language:HTML3.4k519