kaniblu / pytorch-modelsLinks
tool for managing and modularizing PyTorch modules
☆17Updated 6 years ago
Alternatives and similar repositories for pytorch-models
Users that are interested in pytorch-models are comparing it to the libraries listed below
Sorting:
- Parameterized fit and prediction harnesses for pytorch☆39Updated 5 years ago
- PyProf2: PyTorch Profiling tool☆82Updated 5 years ago
- PyTorch DataLoader processed in multiple remote computation machines for heavy data processings☆68Updated 6 years ago
- ☆14Updated 3 years ago
- ☆107Updated 4 years ago
- ☆25Updated 4 years ago
- Python way to Read/Write TFRecords☆65Updated 7 years ago
- Knowledge Distillation Toolkit☆89Updated 5 years ago
- a lightweight transformer library for PyTorch☆72Updated 4 years ago
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆87Updated 5 years ago
- All Model summary in PyTorch similar to `model.summary()` in Keras☆88Updated 6 years ago
- Large dataset storage format for Pytorch☆45Updated 4 years ago
- tunz's CUDA pytorch operator (MaskedSoftmax)☆75Updated 6 years ago
- ☆62Updated 5 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago
- Universal Python binding for the LMDB 'Lightning' Database☆13Updated 8 years ago
- ☆42Updated 6 years ago
- Colab notebooks for d2l-book☆11Updated 6 years ago
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago
- Personal collection of references for high performance mixed precision training.☆41Updated 6 years ago
- A small demonstration of using WebDataset with ImageNet and PyTorch Lightning☆76Updated 2 years ago
- An implementation of shampoo☆78Updated 7 years ago
- Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."☆22Updated 6 years ago
- AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks☆42Updated 8 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 6 years ago
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆62Updated last year
- Toy implementations of some popular ML optimizers using Python/JAX☆44Updated 4 years ago
- ☆13Updated 7 years ago
- A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.☆132Updated 3 years ago
- Implementations of quasi-hyperbolic optimization algorithms.☆102Updated 5 years ago