narumiruna / pytorch-distributed-example
☆169Updated 4 years ago
Alternatives and similar repositories for pytorch-distributed-example:
Users that are interested in pytorch-distributed-example are comparing it to the libraries listed below
- Label Refinery: Improving ImageNet Classification through Label Progression☆279Updated 6 years ago
- Official code for "Writing Distributed Applications with PyTorch", PyTorch Tutorial☆260Updated 2 years ago
- Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)☆264Updated 5 years ago
- Random miniprojects with pytorch.☆171Updated 6 years ago
- Implementation and experiments for AdamW on Pytorch☆93Updated 5 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆112Updated 6 years ago
- my simple tutorial for mxnet, a fast deep learning framework☆104Updated 6 years ago
- Bridging the gap Between Stability and Scalability in Neural Architecture Search☆141Updated 3 years ago
- Use TensorFlow efficiently☆95Updated 3 years ago
- Network acceleration methods☆178Updated 3 years ago
- PyTorch implementation of PNASNet-5 on ImageNet☆317Updated 2 years ago
- A GPU devices manager to choice freest gpu.☆134Updated 6 years ago
- Multinomial Distribution Learning for Effective Neural Architecture Search☆207Updated 5 years ago
- Using the CLR algorithm for training (https://arxiv.org/abs/1506.01186)☆108Updated 6 years ago
- ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction☆135Updated 6 years ago
- FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search☆303Updated 7 months ago
- lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch☆334Updated 5 years ago
- MXNet Gluon Synchronized Batch Normalization Preview☆77Updated 6 years ago
- Synchronized Multi-GPU Batch Normalization☆223Updated 5 years ago
- Try to use tf.estimator and tf.data together to train a cnn model.☆79Updated 6 years ago
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆310Updated 5 years ago
- Implementation of OctConv in Pytorch (https://arxiv.org/abs/1904.05049)☆214Updated 5 years ago
- tunz's CUDA pytorch operator (MaskedSoftmax)☆75Updated 6 years ago
- repo that holds code for improving on dropout using Stochastic Delta Rule☆142Updated 6 years ago
- Knowledge Distillation using Tensorflow☆142Updated 5 years ago
- A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch☆123Updated 7 years ago
- A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.☆272Updated 6 years ago
- Hands-on Tutorial on Automated Deep Learning☆149Updated 4 years ago
- Implementation of model compression with knowledge distilling method.☆343Updated 8 years ago
- Teaches a student network from the knowledge obtained via training of a larger teacher network☆157Updated 7 years ago