ambrishrawat

ambrishrawat's Stars

• junyanz/CycleGAN

  Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

  Language:Lua12.6k3871492k

• pyro-ppl/pyro

  Deep universal probabilistic programming with Python and PyTorch

  Language:Python8.7k2001.1k985

• godlygeek/tabular

  Vim script for text filtering and alignment

  Language:Vim Script2.6k6157166

• XifengGuo/CapsNet-Keras

  A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

  Language:Python2.5k98124653

• chrisdonahue/wavegan

  WaveGAN: Learn to synthesize raw audio with generative adversarial networks

  Language:Python1.3k50106281

• jjbrophy47/machine_unlearning

  Existing Literature about Machine Unlearning

  838247102

• randy3k/AlignTab

  An alignment plugin for Sublime Text using regular expression

  Language:Python631127223

• beartype/plum

  Multiple dispatch in Python

  Language:Python570611625

• IBM/federated-learning-lib

  A library for federated learning (a distributed machine learning process) in an enterprise environment.

  Language:Python5042859137

• ibm-granite/granite-3.0-language-models

  2548424

• yaringal/ConcreteDropout

  Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

  Language:Jupyter Notebook25091367

• wesselb/stheno

  Gaussian process modelling in Python

  Language:Python222101719

• OctoberChang/MMD-GAN

  MMD-GAN: Towards Deeper Understanding of Moment Matching Network

  Language:Python1983554

• marload/ConvNets-TensorFlow2

  ⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]

  Language:Python1056331

• tml-epfl/understanding-fast-adv-training

  Understanding and Improving Fast Adversarial Training [NeurIPS 2020]

  Language:Python953712

• ibm-granite/granite-guardian

  The Granite Guardian models are designed to detect risks in prompts and responses.

  Language:Jupyter Notebook718110

• wesselb/lab

  A generic interface for linear algebra backends

  Language:Python713175

• Gordonjo/versa

  Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"

  Language:Python697313

• lsgos/uncertainty-adversarial-paper

  Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'

  Language:Python604214

• IBM/yaps

  A surface language for programming Stan models using python syntax

  Language:Python46949

• IBM/data-privacy-toolkit

  Data Privacy Toolkit

  Language:Java376884

• IBM/federated-unlearning

  Code implementation of the paper "Federated Unlearning: How to Efficiently Erase a Client in FL?" published at UpML (part of ICML 2022)

  Language:Jupyter Notebook35312

• IBM/regex-learner

  Utility to incrementally learn regular expressions from examples

  Language:Python27653

• jlengstorf/reveal.js-jade

  The HTML Presentation Framework (now with Jade support!)

  Language:JavaScript22305

• IBM/devil-in-GAN

  this is a repo for the demo on backdoor attacks on StyleGAN and WaveGAN

  Language:Jupyter Notebook19722

• IBM/data-leakage-prevention-filesystem

  User space file system extension to protect from data leakage. This is code associated to a research paper published at https://arxiv.org/abs/2108.13785

  Language:Python17603

• IBM/pycloudmessenger

  This repository includes sample code showing how to interact with messaging based services provided by IBM Research Ireland.

  Language:Python1091219

• NSSAC/WH-challenge-baselines

  Example baseline implementations for WH PETS challenge

  Language:Python8516

• IBM/DLaaS-Getting-StartedTutorial

  A Getting Started Tutorial to get you quick-started on using the IBM Watson Studio DLaaS (Deep Learning as a Service) via the Command Line Interface (CLI). Covers basic pre-requisites, creating a Machine Learning Instance, Cloud Object Storage, etc. and a simple demo.

  Language:Python71008

• IBM/Adversarial-Prompt-Evaluation

  Code Implementation of Adversarial Prompt Evaluation paper

  Language:Python5501