PyTorch implementation of Learning to learn by gradient descent by gradient descent.
python main.py
EfficientNet PyTorch Quickstart Install with pip install efficientnet_pytorch and load a pretrained EfficientNet with: from efficientnet_pytorch impor
Pytorch bindings for Fortran
CompactBilinearPooling-Pytorch A Pytorch Implementation for Compact Bilinear Pooling. Adapted from tensorflow_compact_bilinear_pooling Prerequisites I
For something in between a pytorch and a karpathy/micrograd This may not be the best deep learning framework, but it is a deep learning framework. Due
PyTorch to TensorFlow Lite converter
News SRU++, a new SRU variant, is released. [tech report] [blog] The experimental code and SRU++ implementation are available on the dev branch which
Keras style model.summary() in PyTorch Keras has a neat API to view the visualization of the model which is very helpful while debugging your network.
Wiki and tutorials | Documentation | Getting Started | Algorithms | Design | FAQ Distiller is an open-source Python package for neural network compres
Performer - Pytorch An implementation of Performer, a linear attention-based transformer variant with a Fast Attention Via positive Orthogonal Random
PyTorch Sparse This package consists of a small extension library of optimized sparse matrix operations with autograd support. This package currently
A Closer Look at Structured Pruning for Neural Network Compression Code used to reproduce experiments in https://arxiv.org/abs/1810.04622. To prune, w
🤗 Accelerate was created for PyTorch users who like to write the training loop of PyTorch models but are reluctant to write and maintain the boilerplate code needed to use multi-GPUs/TPU/fp16.
Pytorch-DPPO Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286 Using PPO with clip loss (from https
Torchmeta A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch. Torchmeta contains popular meta-learning bench
S3-plugin is a high performance PyTorch dataset library to efficiently access datasets stored in S3 buckets.
Antialiased CNNs [Project Page] [Paper] [Talk] Making Convolutional Networks Shift-Invariant Again Richard Zhang. In ICML, 2019. Quick & easy start Ru
Pytorch-toolbelt A pytorch-toolbelt is a Python library with a set of bells and whistles for PyTorch for fast R&D prototyping and Kaggle farming: What
Accelerate PyTorch models with ONNX Runtime
Lambda Networks - Pytorch Implementation of λ Networks, a new approach to image recognition that reaches SOTA on ImageNet. The new method utilizes λ l
MentisOculi Pytorch Path Tracer A very simple and small path tracer written in pytorch meant to be run on the GPU Why use pytorch and not some other c
7.2k Jan 06, 2023
46 Dec 29, 2022
169 Dec 23, 2022
9.7k Jan 05, 2023
140 Dec 13, 2022
2.1k Jan 01, 2023
3.7k Dec 29, 2022
4.1k Dec 28, 2022
900 Dec 22, 2022
757 Jan 04, 2023
140 Dec 05, 2022
3.5k Jan 08, 2023
164 Jan 05, 2023
1.7k Jan 06, 2023
138 Jan 03, 2023
1.6k Dec 28, 2022
1.3k Jan 05, 2023
270 Dec 24, 2022
222 Dec 01, 2022