shikhar-srivastava Goto Github PK

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

attentions

PyTorch implementation of some attentions for Deep Learning Researchers.

avalanche

Avalanche: a End-to-End Library for Continual Learning.

aws-cv-task2vec

Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)

ccmcl

check_sandbox

continuum_tensorflow

A clean Tensorflow implementation of the Continual Learning library - Continuum.

datasetcondensation

Dataset Condensation (ICLR21 and ICML21)

deepneuralmap

Implementation of Deep Neural Maps paper (ICLR 2018) [TF]

dl4j-examples

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gpm

Official Code Repository for "Gradient Projection Memory for Continual Learning"

hover_net

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

hovernet_modified

2nd Place Submission to ISBI 2020's MoNuSAC Post-Challenge

hypnettorch

Package for working with hypernetworks in PyTorch.

iitkgp

Project at IITKGP

itlab

machine-learning-model-access-framework

To provide a web-based GUI access to Dynamic pre-trained Machine learning models, for predictions based on the feature inputs, in realtime.

machinelearningiitkgp

Deep Learning & Machine Learning Model-access Framework for IHC Cloud-based Image analysis

mammoth

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

merlin

(NeurIPS 2020) Meta-Consolidation for Continual Learning

meta-iterative-mapreduce

Meta-Iterative Map-Reduce to perform Regression massively parallely on a cluster with MPI and CUDA for GPU and CPU-nodes support.

mkl-dnn

Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)

modelzoo_continual

Model Zoo: A Growing Brain that Learns Continually (ICLR 22)

multi-task-autoencoding

network-traffic-classification

Network traffic Simulation & Classification system

neuralnetworks-ml-repository

Implementations of AutoEncoders, Deep Belief Networks in DL4J (Java)

optimizing-deep-neural-networks

Elsevier Journal of AI and Medicine Paper code files and documentation

philipshackabout

Private repository to store our Model code, cleaned datasets.

posterior_replay_cl

Continual learning of task-specific approximations of the parameter posterior distribution via a shared hypernetwork.