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Name: Deepak Singh
Type: User
Company: Harvard University
Bio: Senior at Harvard University jointly concentrating in Computer Science and Neuroscience.
Location: Cambridge, MA
Name: Deepak Singh
Type: User
Company: Harvard University
Bio: Senior at Harvard University jointly concentrating in Computer Science and Neuroscience.
Location: Cambridge, MA
Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustness" in PyTorch
Fig adds autocomplete to your terminal.
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
Conformalized Quantile Regression
Denoising Diffusion Implicit Models
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
This repository contains implementations and illustrative code to accompany DeepMind publications
The implementation of "Discrete Neural Algorithmic Reasoning"
Gene Regulatory Graph Neural Networks
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
Release for Improved Denoising Diffusion Probabilistic Models
Official implementation of MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation (https://arxiv.org/abs/2205.09853)
Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch
Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)
For interview purposes
Code release for "Dropout Reduces Underfitting"
UK country model for use with OpenFisca.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Simulations of UBI in the UK
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.