tensorpack / dataflowLinks
Efficient Data Loading Pipeline in Pure Python
☆212Updated 5 years ago
Alternatives and similar repositories for dataflow
Users that are interested in dataflow are comparing it to the libraries listed below
Sorting:
- This is an example of how to train a MNIST network in Python and run it in c++ with pytorch 1.0☆96Updated 6 years ago
- Use TensorFlow efficiently☆95Updated 4 years ago
- ☆169Updated 4 years ago
- Repository has been moved: https://github.com/adobe/antialiased-cnns☆165Updated 3 years ago
- A simple, flexible, and extensible template for PyTorch. It's beautiful.☆190Updated last year
- A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).☆140Updated 4 years ago
- Experiments with Adam/AdamW/amsgrad☆201Updated 6 years ago
- Hands-on Tutorial on Automated Deep Learning☆150Updated 4 years ago
- PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html☆138Updated 6 years ago
- Code for https://arxiv.org/abs/1810.04622☆141Updated 5 years ago
- ☆109Updated 4 years ago
- repo that holds code for improving on dropout using Stochastic Delta Rule☆142Updated 6 years ago
- Model Scope in PyTorch (include Params, FLOPs, Madds).☆122Updated 6 years ago
- Example repository for custom C++/CUDA operators for TorchScript☆114Updated 2 years ago
- Using the CLR algorithm for training (https://arxiv.org/abs/1506.01186)☆108Updated 7 years ago
- Implementations of ideas from recent papers☆392Updated 4 years ago
- Code for reproducing results of the paper "Layer rotation: a surprisingly powerful indicator of generalization in deep networks?"☆50Updated 6 years ago
- pytorch model summary, statistic parameters number, memory usage, FLOPs and so on☆98Updated 5 years ago
- high performance image loading and augmenting routines mimicking PIL.Image interface☆318Updated 4 years ago
- ☆165Updated 6 years ago
- Network acceleration methods☆177Updated 4 years ago
- Simple Tensorflow implementation of "Adaptive Gradient Methods with Dynamic Bound of Learning Rate" (ICLR 2019)☆150Updated 6 years ago
- tunz's CUDA pytorch operator (MaskedSoftmax)☆75Updated 6 years ago
- Mish Deep Learning Activation Function for PyTorch / FastAI☆161Updated 5 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆57Updated 6 years ago
- PyTorch 1.0 inference in C++ on Windows10 platforms☆89Updated 6 years ago
- Implementation of OctConv in Pytorch (https://arxiv.org/abs/1904.05049)☆214Updated 6 years ago
- TensorFlow implementation of PNASNet-5 on ImageNet☆101Updated 6 years ago
- Tutorial Materials for ICCV19☆277Updated 2 years ago
- A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch☆123Updated 7 years ago