apple / ml-cifar-10-fasterLinks
☆57Updated 3 years ago
Alternatives and similar repositories for ml-cifar-10-faster
Users that are interested in ml-cifar-10-faster are comparing it to the libraries listed below
Sorting:
- MONeT framework for reducing memory consumption of DNN training☆174Updated 4 years ago
- Train ImageNet in 18 minutes on AWS☆134Updated last year
- Labels and other data for the paper "Are we done with ImageNet?"☆194Updated 3 years ago
- Using ideas from product quantization for state-of-the-art neural network compression.☆146Updated 4 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆326Updated 2 years ago
- ☆108Updated 4 years ago
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆87Updated 4 years ago
- A collection of metrics to profile a single deep learning model or compare two different deep learning models☆27Updated last year
- [JMLR'20] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion☆41Updated 4 years ago
- Programmable Neural Network Compression☆149Updated 3 years ago
- EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax☆128Updated last year
- Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.☆85Updated 4 years ago
- PyProf2: PyTorch Profiling tool☆82Updated 5 years ago
- All about acceleration and compression of Deep Neural Networks☆33Updated 5 years ago
- ☆69Updated 5 years ago
- Research publication code for "Least Squares Binary Quantization of Neural Networks"☆82Updated 2 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆35Updated 5 years ago
- [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks☆139Updated 4 years ago
- MUSCO: MUlti-Stage COmpression of neural networks☆72Updated 4 years ago
- A research library for pytorch-based neural network pruning, compression, and more.☆163Updated 2 years ago
- Unofficial PyTorch Implementation of EvoNorm☆122Updated 4 years ago
- AlphaNet Improved Training of Supernet with Alpha-Divergence☆100Updated 4 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago
- A Re-implementation of Fixed-update Initialization☆155Updated 6 years ago
- ☆22Updated 7 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- PyTorch implementation of L2L execution algorithm☆108Updated 2 years ago
- Reference implementations of popular Binarized Neural Networks☆109Updated 3 weeks ago
- ☆25Updated 4 years ago
- A small demonstration of using WebDataset with ImageNet and PyTorch Lightning☆75Updated last year