NVIDIA / apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
☆8,537Updated 2 weeks ago
Alternatives and similar repositories for apex:
Users that are interested in apex are comparing it to the libraries listed below
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,913Updated last month
- A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep lear…☆5,278Updated this week
- A PyTorch implementation of EfficientNet☆8,018Updated 2 years ago
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,027Updated 11 months ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,586Updated this week
- Count the MACs / FLOPs of your PyTorch model.☆4,955Updated 7 months ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆9,052Updated 2 years ago
- Datasets, Transforms and Models specific to Computer Vision☆16,547Updated this week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,735Updated last week
- End-to-End Object Detection with Transformers☆13,972Updated 11 months ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆22,714Updated last week
- OpenMMLab Computer Vision Foundation☆6,011Updated last week
- PyTorch extensions for high performance and large scale training.☆3,260Updated last month
- Google Brain AutoML☆6,308Updated 10 months ago
- Collection of common code that's shared among different research projects in FAIR computer vision team.☆2,077Updated 2 months ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,081Updated 10 months ago
- ☆10,900Updated 2 months ago
- A small package to create visualizations of PyTorch execution graphs☆3,299Updated last month
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆4,885Updated 2 months ago
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,369Updated last year
- A PyTorch implementation of the Transformer model in "Attention is All You Need".☆9,013Updated 10 months ago
- An easy to use PyTorch to TensorRT converter☆4,674Updated 6 months ago
- PyTorch tutorials.☆8,404Updated 2 weeks ago
- Pytorch implementation of convolutional neural network visualization techniques☆7,948Updated last month
- Ongoing research training transformer models at scale☆11,414Updated this week
- Open standard for machine learning interoperability☆18,448Updated this week
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,087Updated 2 months ago
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆33,169Updated this week
- Graph Neural Network Library for PyTorch☆21,888Updated this week
- Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Py…☆21,742Updated last month