Santosh-Gupta / SpeedTorchLinks
Library for faster pinned CPU <-> GPU transfer in Pytorch
☆683Updated 5 years ago
Alternatives and similar repositories for SpeedTorch
Users that are interested in SpeedTorch are comparing it to the libraries listed below
Sorting:
- PyTorch layer-by-layer model profiler☆608Updated 4 years ago
- Implementations of ideas from recent papers☆392Updated 4 years ago
- Deep Learning Experiment Management☆641Updated 2 years ago
- Experimental ground for optimizing memory of pytorch models☆367Updated 7 years ago
- ☆536Updated 3 years ago
- torchbearer: A model fitting library for PyTorch☆641Updated last year
- Efficient Learning of Augmentation Policy Schedules☆508Updated 6 years ago
- Over9000 optimizer☆425Updated 2 years ago
- Debug PyTorch code using PySnooper☆801Updated 4 years ago
- Code for: "And the bit goes down: Revisiting the quantization of neural networks"☆631Updated 5 years ago
- Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"☆687Updated 6 years ago
- lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch☆337Updated 6 years ago
- Weakly Supervised Learning On Images☆602Updated 4 years ago
- 🔥 Reproducibly benchmarking Keras and PyTorch models☆367Updated 4 years ago
- Fast Block Sparse Matrices for Pytorch☆547Updated 4 years ago
- Sparse learning library and sparse momentum resources.☆381Updated 3 years ago
- High-level batteries-included neural network training library for Pytorch☆403Updated 3 years ago
- Efficient Data Loading Pipeline in Pure Python☆212Updated 5 years ago
- PyTorch elastic training☆730Updated 3 years ago
- Estimates the size of a PyTorch model in memory☆359Updated 5 years ago
- Tutorial for building a custom CUDA function for Pytorch☆519Updated 6 years ago
- Accelerate training by storing parameters in one contiguous chunk of memory.☆293Updated 5 years ago
- Fast & Simple Resource-Constrained Learning of Deep Network Structure☆1,032Updated 5 months ago
- Easily evaluate machine learning models on public benchmarks☆171Updated last year
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆510Updated 5 years ago
- TVM integration into PyTorch☆455Updated 5 years ago
- A GPU performance profiling tool for PyTorch models☆508Updated 4 years ago
- A GPipe implementation in PyTorch☆858Updated last year
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆313Updated 5 years ago
- Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!☆378Updated 3 years ago