Piyush Raikwar (Piyush-555)

Piyush-555

Geek Repo

Company:CERN

Location:Geneva, Switzerland

Home Page:piyush-555.github.io

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Piyush Raikwar's repositories

GaussianDistillation

Data-free knowledge distillation using Gaussian noise (NeurIPS paper)

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VCL-in-PyTorch

PyTorch implementation of Variational Continual Learning

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OpenAI_gym-CarRacing

OpenAI_gym-CarRacing-v0 Supervised Learning

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continual_learning_papers

Relevant papers in Continual Learning

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FMFastSim

Foundational models for fast simulation

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cupy

NumPy-like API accelerated with CUDA

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deepbots

A wrapper framework for Reinforcement Learning in Webots simulator using Python 3.

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deepbots-tutorials

Tutorials for the deepbots framework https://github.com/aidudezzz/deepbots

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deepworlds

Examples and use cases using the deepbots framework (https://github.com/aidudezzz/deepbots) with the Webots robot simulator.

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hsf.github.io

HEP Software Foundation github site

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Lottery-Ticket-Hypothesis-in-Pytorch

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

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MNIST_GAN

Generative Adverserial Networks trained on MNIST

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

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pytorch-mdn

Mixture Density Networks for PyTorch

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Training-BatchNorm-and-Only-BatchNorm

Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.

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variational-continual-learning

Implementation of the variational continual learning method

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vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

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weight-loss

Machine Learning meets ketosis: how to effectively lose weight

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