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Name: Sanket Vaibhav Mehta [SVM]
Type: User
Company: Carnegie Mellon University
Bio: PhD student at SCS, CMU. Previously worked with Adobe Research Lab, India.
Location: Pittsburgh, PA
Name: Sanket Vaibhav Mehta [SVM]
Type: User
Company: Carnegie Mellon University
Bio: PhD student at SCS, CMU. Previously worked with Adobe Research Lab, India.
Location: Pittsburgh, PA
An optimizer that trains as fast as Adam and as good as SGD.
:alarm_clock: AI conference deadline countdowns
An open-source NLP research library, built on PyTorch.
Curated list of 2vec-type embedding models
A ContinualAI repository for tutorials and demo running on Google Colaboratory.
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).
Cramming the training of a (BERT-type) language model into limited compute.
CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!
A quick Python script for thanking people who wish you a "happy birthday" on your Facebook wall
Facebook Platform Python SDK
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)."
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.
Resources and tools for Indian language Natural Language Processing
PyTorch Meta-learning Framework for Researchers
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)"
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)
Fast & Simple repository for pre-training and fine-tuning T5-style models
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.
Code Samples from Neural Networks for NLP
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
A* search in Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Efficient PyTorch Hessian eigendecomposition tools!
Spatial Co-location Pattern Mining using Graph Database
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.