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imp_reg_dl_not_norms

Code for Implicit Regularization in Deep Learning May Not Be Explainable by Norms

imta

incremental_learning.pytorch

A collection of incremental learning paper implementations.

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

infopro-pytorch

Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better performance.

inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

inresnet

Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749

instance-based-smoothing

Instance-based label smoothing - Masters thesis, Institute of Computer Science, University of Tartu, May 2020

invertible-image-rescaling

Implementation of paper: Invertible Image Rescaling

invertible-resnet

Official Code for Invertible Residual Networks

ir-net

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

iresnet

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

isda-for-deep-networks

An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.

ismir2018-revisiting-svd

Revisiting Singing Voice Detection : a Quantitative Review and the Future Outlook

ista-nas

released code for the paper: ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding

iternorm-pytorch

This is the pytorch re-implementation of the IterNorm

jacobian_regularizer

A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.

jina

Jina is the cloud-native neural search framework powered by state-of-the-art AI and deep learning

kaggle-computer-vision-competitions-list

List of Kaggle competitions in the field of Computer Vision

kalman-normalization

Code of "Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches"

kd-1

knowledge distillation for keti project

kd-ticket

kd_lib

A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

kd_methods_with_tf

Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)

kd_srrl

kegnet

Knowledge Extraction with No Observable Data (NeurIPS 2019)

keops

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

kervolution-pytorch

Pytorch Implementation of the Kernel Convolution AKA Kervolution Layer from Kervolutional Neural Networks (https://arxiv.org/pdf/1904.03955.pdf)

kesi

Knowledge distillation from Ensembles of Iterative pruning

kill-the-bits

Code for: "And the bit goes down: Revisiting the quantization of neural networks"