baburamshapure Goto Github PK

anomalies

Anomaly Detection

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

baburamshapure

Config files for my GitHub profile.

baburamshapure.github.io

for gh-pages

commonlit_readability

My experiments and submissions for the commonlit readability challenge on kaggle

cutmix

a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

cycle_dynamics

[ICLR2021, Oral] Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency

deeprl

Implementations of some popular RL algorithms

deepscm

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

digitrecognizer

simple ML

dockertest

dqn

deep reinforcement learning

federatedgraphconv

Our experiments with Federated graph convolution networks and Graph attention networks

fedlearn_experiments

Our experiments with federated learning

findmypeak

Quickly recognize various peaks in the himalayan ranges

helloworld

I am going to test my public key with this repository

interpretable-ml-book

Book about interpretable machine learning

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

meta_learning

metalearningreading

Reading list for meta learning.

neuroblastoma-data

omniglot

Omniglot data set for one-shot learning

plaidml

PlaidML is a framework for making deep learning work everywhere.

practical-torchtext

A set of tutorials for torchtext

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pycox

Survival analysis with PyTorch

pytorch-maml

An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch