PhilJd / contiguous_pytorch_paramsLinks
Accelerate training by storing parameters in one contiguous chunk of memory.
☆293Updated 5 years ago
Alternatives and similar repositories for contiguous_pytorch_params
Users that are interested in contiguous_pytorch_params are comparing it to the libraries listed below
Sorting:
- Slicing a PyTorch Tensor Into Parallel Shards☆300Updated 6 months ago
- Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆416Updated last year
- Example code showing how to use Nvidia DALI in pytorch, with fallback to torchvision. Contains a few differences to the official Nvidia …☆197Updated 5 years ago
- PyTorch layer-by-layer model profiler☆607Updated 4 years ago
- Simple package that makes your generator work in background thread☆282Updated 3 years ago
- Implementation of https://arxiv.org/abs/1904.00962☆377Updated 5 years ago
- Experimental ground for optimizing memory of pytorch models☆366Updated 7 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆189Updated last year
- ☆261Updated 6 years ago
- Deep Learning Experiment Management☆641Updated 2 weeks ago
- lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch☆338Updated 6 years ago
- 🛠 Toolbox to extend PyTorch functionalities☆420Updated last year
- A New Optimization Technique for Deep Neural Networks☆540Updated 3 years ago
- [ICLR 2020] Lite Transformer with Long-Short Range Attention☆610Updated last year
- Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"☆184Updated last year
- Library for faster pinned CPU <-> GPU transfer in Pytorch☆683Updated 5 years ago
- Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)☆478Updated last year
- Demystify RAM Usage in Multi-Process Data Loaders☆205Updated 2 years ago
- ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training☆199Updated 3 years ago
- DeLighT: Very Deep and Light-Weight Transformers☆468Updated 5 years ago
- A GPU performance profiling tool for PyTorch models☆509Updated 4 years ago
- MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.☆700Updated 4 years ago
- A general and accurate MACs / FLOPs profiler for PyTorch models☆632Updated 4 months ago
- Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174☆604Updated 5 years ago
- Estimate/count FLOPS for a given neural network using pytorch☆305Updated 3 years ago
- Efficient Data Loading Pipeline in Pure Python☆212Updated 5 years ago
- MONeT framework for reducing memory consumption of DNN training☆174Updated 4 years ago
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)☆484Updated 4 years ago
- ☆165Updated 7 years ago
- Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)☆223Updated 9 months ago