pytorch / tnt
A lightweight library for PyTorch training tools and utilities
☆1,678Updated last week
Alternatives and similar repositories for tnt:
Users that are interested in tnt are comparing it to the libraries listed below
- Train AI models efficiently on medical images using any framework☆1,870Updated 7 months ago
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,803Updated 11 months ago
- Model analyzer in PyTorch☆1,471Updated last year
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,026Updated 10 months ago
- My best practice of training large dataset using PyTorch.☆1,093Updated 8 months ago
- Stochastic Weight Averaging in PyTorch☆968Updated 3 years ago
- Code snippets created for the PyTorch discussion board☆550Updated 3 years ago
- On the Variance of the Adaptive Learning Rate and Beyond☆2,539Updated 3 years ago
- Improving Convolutional Networks via Attention Transfer (ICLR 2017)☆1,450Updated 6 years ago
- Codebase for Image Classification Research, written in PyTorch.☆2,143Updated 9 months ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,569Updated last week
- Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10…☆867Updated 4 years ago
- Debug PyTorch code using PySnooper☆801Updated 3 years ago
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,364Updated last year
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,601Updated 2 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,067Updated 9 months ago
- Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase☆1,196Updated last year
- PyTorch and Tensorflow functional model definitions☆587Updated 6 years ago
- A CV toolkit for my papers.☆2,047Updated 3 weeks ago
- PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"☆2,709Updated last year
- A memory-efficient implementation of DenseNets☆1,525Updated last year
- pip install antialiased-cnns to improve stability and accuracy☆1,659Updated 9 months ago
- A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".☆1,735Updated 6 years ago
- Deep Learning Experiment Management☆639Updated 2 years ago
- A PyTorch implementation of DenseNet.☆833Updated 6 years ago
- PyTorch layer-by-layer model profiler☆606Updated 3 years ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,898Updated this week
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,599Updated 3 years ago
- A small package to create visualizations of PyTorch execution graphs☆3,271Updated 2 weeks ago
- Classification with PyTorch.☆1,706Updated 7 months ago