sanketvmehta

AdaBound

An optimizer that trains as fast as Adam and as good as SGD.

ai-deadlines

:alarm_clock: AI conference deadline countdowns

allennlp

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

awesome-2vec

Curated list of 2vec-type embedding models

colab

A ContinualAI repository for tutorials and demo running on Google Colaboratory.

gradient-based-inference

Code for "Lee, J. Y., Mehta, S. V., Wick, M., Tristan, J. B., & Carbonell, J. (2019, July). Gradient-based inference for networks with output constraints. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 33, pp. 4147-4154)."

lifelong-learning-pretraining-and-sam

Code for the paper "Mehta, S. V., Patil, D., Chandar, S., & Strubell, E. (2023). An Empirical Investigation of the Role of Pre-training in Lifelong Learning. The Journal of Machine Learning Research 24 (2023)"

NLP-PyTorch

ssl-deep-srl

Code for "Mehta, S. V.*, Lee, J. Y.*, and Carbonell, J. (2018). Towards Semi-Supervised Learning for Deep Semantic Role Labeling. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (pp. 4958-4963).

Structured-Adversary

"Learning Rhyming Constraints using Structured Adversaries. Jhamtani H., Mehta S., Carbonell J., Berg-Kirkpatrick T. EMNLP-IJCNLP (Short paper) 2019"

sanketvmehta/lifelong-learning-pretraining-and-sam

Code for the paper "Mehta, S. V., Patil, D., Chandar, S., & Strubell, E. (2023). An Empirical Investigation of the Role of Pre-training in Lifelong Learning. The Journal of Machine Learning Research 24 (2023)"

sanketvmehta/gradient-based-inference

Code for "Lee, J. Y., Mehta, S. V., Wick, M., Tristan, J. B., & Carbonell, J. (2019, July). Gradient-based inference for networks with output constraints. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 33, pp. 4147-4154)."

sanketvmehta/ssl-deep-srl

Code for "Mehta, S. V.*, Lee, J. Y.*, and Carbonell, J. (2018). Towards Semi-Supervised Learning for Deep Semantic Role Labeling. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (pp. 4958-4963).

sanketvmehta/AdaBound

An optimizer that trains as fast as Adam and as good as SGD.

sanketvmehta/ai-deadlines

:alarm_clock: AI conference deadline countdowns

sanketvmehta/awesome-2vec

Curated list of 2vec-type embedding models

sanketvmehta/colab

A ContinualAI repository for tutorials and demo running on Google Colaboratory.

sanketvmehta/Structured-Adversary

"Learning Rhyming Constraints using Structured Adversaries. Jhamtani H., Mehta S., Carbonell J., Berg-Kirkpatrick T. EMNLP-IJCNLP (Short paper) 2019"

sanketvmehta/continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).

sanketvmehta/cramming

Cramming the training of a (BERT-type) language model into limited compute.

sanketvmehta/cvpr_clvision_challenge

CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!

sanketvmehta/HowToTrainYourMAMLPytorch

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

sanketvmehta/indic_nlp_library

Resources and tools for Indian language Natural Language Processing

sanketvmehta/learn2learn

PyTorch Meta-learning Framework for Researchers

sanketvmehta/maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

sanketvmehta/MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

sanketvmehta/Matterport

Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)

sanketvmehta/nanoT5

Fast & Simple repository for pre-training and fine-tuning T5-style models

sanketvmehta/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.

sanketvmehta/pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

sanketvmehta/pythia

sanketvmehta/pytorch-hessian-eigenthings

Efficient PyTorch Hessian eigendecomposition tools!

sanketvmehta/sanketvmehta.github.io

sanketvmehta/schema-guided-dialogue

sanketvmehta/spatium-v1

Spatial Co-location Pattern Mining using Graph Database

sanketvmehta/speaker_follower

Code release for Fried et al., Speaker-Follower Models for Vision-and-Language Navigation. in NeurIPS, 2018.

sanketvmehta/tensorboard-pytorch

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

sanketvmehta/transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

sanketvmehta/TreeNLG

A novel method of constrained decoding for neural NLG (NNLG) models

sanketvmehta/visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.