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
A pure Python implementation of Compact Bilinear Pooling and Count Sketch for PyTorch.

Compact Bilinear Pooling for PyTorch. This repository has a pure Python implementation of Compact Bilinear Pooling and Count Sketch for PyTorch. This

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PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

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PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

PyTorch Sparse This package consists of a small extension library of optimized sparse matrix operations with autograd support. This package currently

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A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).

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You like pytorch? You like micrograd? You love tinygrad! ❤️

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S3-plugin is a high performance PyTorch dataset library to efficiently access datasets stored in S3 buckets.

S3-plugin is a high performance PyTorch dataset library to efficiently access datasets stored in S3 buckets.

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A few Windows specific scripts for PyTorch

It is a repo that contains scripts that makes using PyTorch on Windows easier. Easy Installation Update: Starting from 0.4.0, you can go to the offici

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Training PyTorch models with differential privacy

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Pytorch bindings for Fortran

Pytorch bindings for Fortran

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A Closer Look at Structured Pruning for Neural Network Compression

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Pytorch implementation of Distributed Proximal Policy Optimization

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Implements pytorch code for the Accelerated SGD algorithm.

AccSGD This is the code associated with Accelerated SGD algorithm used in the paper On the insufficiency of existing momentum schemes for Stochastic O

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Reformer, the efficient Transformer, in Pytorch

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On the Variance of the Adaptive Learning Rate and Beyond

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Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

PyTorch Implementation of Differentiable SDE Solvers This library provides stochastic differential equation (SDE) solvers with GPU support and efficie

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

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Code snippets created for the PyTorch discussion board

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461 Dec 26, 2022
PyTorch implementation of Glow, Generative Flow with Invertible 1x1 Convolutions

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A Pytorch Implementation for Compact Bilinear Pooling.

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169 Dec 23, 2022