Nischal Ashok Kumar (Nish-19)

Nish-19

Geek Repo

Company:UMass Amherst

Location:Amherst, MA, USA

Home Page:https://nish-19.github.io/

Twitter:@nish_ashok

Github PK Tool:Github PK Tool


Organizations
dsciitpatna
Njack-IITP
NJACKWinterOfCode
umass-ml4ed

Nischal Ashok Kumar's starred repositories

covidfact

Data and code for the paper COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic.

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GNN-FakeNews

A collection of GNN-based fake news detection models.

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awesome-fairness-papers

Papers on fairness in NLP

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NLP4SocialGood_Papers

A reading list of up-to-date papers on NLP for Social Good.

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pytorch_workplace

Random miniprojects with pytorch.

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TextClassification-Keras

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

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CharBERT

CharBERT: Character-aware Pre-trained Language Model (COLING2020)

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Text-Attention-Heatmap-Visualization

Plot the vector graph of attention based text visualisation

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FEVEROUS

Repository for Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS), accepted to NeurIPS 2021 Dataset and Benchmarks and used for the FEVER Workshop Shared Task at EMNLP2021.

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nlp-phd-global-equality

A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP

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easy-deep-learning-with-AllenNLP

🔮Deep Learning for text made easy with AllenNLP

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allennlp_imdb

AllenNLP Startup Guide

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allennlp

An open-source NLP research library, built on PyTorch.

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Continuous-RvNN

Official Repository for "Modeling Hierarchical Structures with Continuous Recursive Neural Networks" (ICML 2021)

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AIX360

Interpretability and explainability of data and machine learning models

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awesome-machine-learning-on-source-code

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

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UQ360

Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

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transformers-interpret

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

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pytorchvideo

A deep learning library for video understanding research.

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theGREvisualizer

Visualize synonyms and common confusing words in an interactive network

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awesome-mlss

🤖 Machine Learning Summer School deadlines

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five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

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video-classification-3d-cnn-pytorch

Video classification tools using 3D ResNet

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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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ReCOVery

A Multimodal Repository for COVID-19 News Credibility Research

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adversarial

Creating and defending against adversarial examples

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adversarial-examples-pytorch

Implementation of Papers on Adversarial Examples

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