Luolc / AdaBound
An optimizer that trains as fast as Adam and as good as SGD.
☆2,910Updated last year
Alternatives and similar repositories for AdaBound:
Users that are interested in AdaBound are comparing it to the libraries listed below
- On the Variance of the Adaptive Learning Rate and Beyond☆2,542Updated 3 years ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,913Updated last month
- Compare GAN code.☆1,822Updated 4 years ago
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,027Updated 11 months ago
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,810Updated last year
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,433Updated last year
- Train AI models efficiently on medical images using any framework☆1,870Updated 8 months ago
- A lightweight library for PyTorch training tools and utilities☆1,685Updated this week
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,586Updated this week
- Debug PyTorch code using PySnooper☆800Updated 3 years ago
- A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules☆3,804Updated 6 years ago
- A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility☆6,304Updated last year
- MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Co…☆5,805Updated 8 months ago
- Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase☆1,196Updated last year
- torch-optimizer -- collection of optimizers for Pytorch☆3,081Updated 10 months ago
- PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"☆2,708Updated last year
- The convertor/conversion of deep learning models for different deep learning frameworks/softwares.☆3,244Updated last year
- Research Framework for easy and efficient training of GANs based on Pytorch☆1,408Updated 2 years ago
- pip install antialiased-cnns to improve stability and accuracy☆1,661Updated 10 months ago
- A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".☆1,738Updated 6 years ago
- Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).☆644Updated 4 years ago
- Experiments with Deep Learning☆1,346Updated last year
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,369Updated last year
- Lingvo☆2,824Updated 3 weeks ago
- Build Graph Nets in Tensorflow☆5,373Updated 2 years ago
- A collection of infrastructure and tools for research in neural network interpretability.☆4,691Updated 2 years ago
- Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"☆685Updated 5 years ago
- Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]☆1,297Updated this week
- Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10…☆865Updated 4 years ago
- Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"☆3,136Updated 6 months ago