amartya18x

tapas

Tricks for Accelerating (encrypted) Prediction As a Service

easyGrad

An easy implementation of Symbolic gradient framework

matSHEEP

Generate logic circuits for your neural networks

cutorch

A CUDA backend for Torch7

DeepPerf

Code for Optimizing non-decomposable measures with deep networks

syncTensor

2017-phd-students

Repository for the reproducible research session

academic-homepage

amartya18x.github.io

amartya18x_github_io

My personal Web page

amartya18x_github_io_v2

DeepFool

A simple and accurate method to fool deep neural networks

fast_adversarial

[ICLR 2020] A repository for extremely fast adversarial training using FGSM

fuel

A data pipeline framework for machine learning

gitignore

A collection of useful .gitignore templates

hatch-template-project

Template project to be forked by hatch teams.

hatchlondon-2017-projects

List of projects for Hatch London 2017

ignite

High-level library to help with training neural networks in PyTorch

latex-style

This is a repository for latex style files

observer

optimization17

Lecture notes for the Optimization for Machine Learning Reading group in Oxford, Fall 2017, Department of Statistics

Private_kNN

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-classification

Classification with PyTorch.

residual-flows

code for "Residual Flows for Invertible Generative Modeling".

robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

subspace_adv

tml19

Repository for the Oxford reading group on Theoretical Machine Learning

torch7

http://torch.ch

TVG_DL_RG