bhargaviparanjape

bhargaviparanjape's Stars

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook97.3k6998k15.8k

• norvig/pytudes

  Python programs, usually short, of considerable difficulty, to perfect particular skills.

  Language:Jupyter Notebook23.2k781412.4k

• PAIR-code/lit

  The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

  Language:TypeScript3.5k69137357

• QData/TextAttack

  TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

  Language:Python3k38279402

• google/BIG-bench

  Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

  Language:Python2.9k51151595

• facebookresearch/DPR

  Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

  Language:Python1.7k23210306

• google-research/language

  Shared repository for open-sourced projects from the Google AI Language team.

  Language:Python1.6k62117351

• gpleiss/temperature_scaling

  A simple way to calibrate your neural network.

  Language:Python1.1k1035161

• mlfoundations/wise-ft

  Robust fine-tuning of zero-shot models

  Language:Python66662766

• google-research-datasets/paws

  This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase identification.

  Language:Python556141452

• timtadh/zhang-shasha

  Tree edit distance using the Zhang Shasha algorithm

  Language:Python436133363

• RuiShu/vae-clustering

  Unsupervised clustering with (Gaussian mixture) VAEs

  Language:Jupyter Notebook295181457

• HKUST-KnowComp/ASER

  ASER (Activities, States, Events, and their Relations): a large-scale weighted eventuality knowledge graph.

  Language:Python294193031

• facebookresearch/MetaICL

  An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi

  Language:Python25692137

• kohpangwei/group_DRO

  Distributionally robust neural networks for group shifts

  Language:Python25081449

• chrisdonahue/ilm

  Easily fine tune GPT-2 to fill in missing text

  Language:Python19891141

• google-research/cascades

  Python library which enables complex compositions of language models such as scratchpads, chain of thought, tool use, selection-inference, and more.

  Language:Python19811114

• microsoft/adaptive-testing

  Find and fix bugs in natural language machine learning models using adaptive testing.

  Language:Jupyter Notebook182181030

• HazyResearch/domino

  Language:Python134201124

• nd-ball/py-irt

  Bayesian IRT models in Python

  Language:Python12663044

• marcocor/tagme-python

  Official TagMe API wrapper for Python.

  Language:Python11351320

• hltcoe/PredPatt

  PredPatt: Predicate-Argument Extraction from Universal Dependencies

  Language:Python112191423

• jayded/eraserbenchmark

  A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/

  Language:Python9610926

• OSU-NLP-Group/AttrScore

  Code, datasets, models for the paper "Automatic Evaluation of Attribution by Large Language Models"

  Language:Python53412

• ecreager/eiil

  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)

  Language:Jupyter Notebook50319

• ethanjperez/rda

  Code for "Rissanen Data Analysis: Examining Dataset Characteristics via Description Length" by Ethan Perez, Douwe Kiela, and Kyungyhun Cho

  Language:Python35100

• ForoughA/CORGI

  Conversational Neuro-Symbolic Commonsense Reasoning

  Language:Prolog25413

• violet-zct/group-conditional-DRO

  Group-conditional DRO to alleviate spurious correlations

  Language:Python15103

• swarnaHub/ConjNLI

  [EMNLP 2020] Data and PyTorch code of ConjNLI: Natural Language Inference over Conjunctive Sentences

  Language:Python11202

• Sachin19/adversarial-classify

  Code for "Topics to Avoid: Demoting Latent Confounds in Text Classification"

  Language:Python9416