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696ds-unity-assignment

Assignment for introduction to Unity

allennlp

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

allennlp-light

allennlp-light is a port of AllenNLP's core modules and nn portions into a standalone package with minimum dependencies

allennlp-wandb

Utilities to use allennlp with wandb

allennlp_extras

Some utilities build on top of Allennlp (which is amazing)!

arxiv-style

A Latex style and template for paper preprints (based on NIPS style)

beam

Work with YAML config files in python

box-embeddings

Box Embeddings as Modules

box-mlc

boxes

A library implementing box embedding operations.

boxes_gitlab_activity

brs

c-hmcnn

Code for paper: "Coherent Hierarchical Multi-Label Classification Networks"

commonsense-rl

Knowledge-Aware RL agents with Commonsense Reasoning

cookiecutter-hypermodern-python-research

Hypermodern Python Cookiecutter

cookiecutter-nlp-research

Cookiecutter template for NLP research using pytorch, allennlp and wandb.

cookiecutter-pymlr

A cookiecutter template for python package targeted towards ML research and experiments.

dhruvdcoder.github.io

Personal website of Dhruvesh Patel.

dhruvdcoder.github.io.old

My personal website

dl-with-constraints

Code for experiments in 'Primal Dual Formulation For Deep Learning With Constraints'

dsabookclub

entailment_datasets_gitlab_activity

entailment_gitlab_activity

The repo mirrors the activity on a private repo on Gitlab and is here just for information. See https://gitlab.com/dhruveshp for original activity. Actual code will be released soon! Stay tuned.

fair-matching-696ds

Fair paper matching for 696DS

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

flask

The Python micro framework for building web applications.

ginc-incontext-learning

Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"

gittest

hierarchical-typing

Code and Data for all experiments from our ACL 2018 paper "Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking"

hypera

Started as a Team Project for CS690D at UMass Amherst, now turning into pytorch implementation of hyperbolic neural networks using Poincare Ball model. [Final report](https://github.com/dhruvdcoder/HyperA/tree/master/report)