A PyTorch implementation of Learning to learn by gradient descent by gradient descent

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Ilya Kostrikov
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Ilya Kostrikov
Official implementations of EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis.

EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis This repo contains the official implementations of EigenDamage: Structured Prunin

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A tiny package to compare two neural networks in PyTorch

Compare neural networks by their feature similarity

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Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

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A PyTorch implementation of EfficientNet

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Model summary in PyTorch similar to `model.summary()` in Keras

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Fast and Easy-to-use Distributed Graph Learning for PyTorch Geometric

Fast and Easy-to-use Distributed Graph Learning for PyTorch Geometric

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Implements pytorch code for the Accelerated SGD algorithm.

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3D-RETR: End-to-End Single and Multi-View3D Reconstruction with Transformers

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higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

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The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

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A Pytorch Implementation for Compact Bilinear Pooling.

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An optimizer that trains as fast as Adam and as good as SGD.

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Learning Sparse Neural Networks through L0 regularization

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Bunch of optimizer implementations in PyTorch

Bunch of optimizer implementations in PyTorch

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A simplified framework and utilities for PyTorch

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A code copied from google-research which named motion-imitation was rewrited with PyTorch

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Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

Tez: a simple pytorch trainer NOTE: Currently, we are not accepting any pull requests! All PRs will be closed. If you want a feature or something does

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A very simple and small path tracer written in pytorch meant to be run on the GPU

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Fast, general, and tested differentiable structured prediction in PyTorch

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Distiller is an open-source Python package for neural network compression research.

Wiki and tutorials | Documentation | Getting Started | Algorithms | Design | FAQ Distiller is an open-source Python package for neural network compres

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