MegEngine
RepLKNet
| MegEngine | RepLKNet | |
|---|---|---|
| 5 | 1 | |
| 4,718 | 260 | |
| 0.1% | 3.8% | |
| 8.9 | 0.0 | |
| 8 days ago | about 2 years ago | |
| C++ | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MegEngine
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How to speedup 31*31 conv 10 times
The Real Performance in MegEngine
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[P] Train Model 3x as large with Dynamic Tensor Rematerialization
In Deep Learning you can trade space for compute by recomputing activation in backpropagation phase, known as gradient checkpointing. Classical gradient checkpointing algorithm is great but they dont work for eager execution. Dynamic Tensor Rematerialization(DTR) is a gradient checkpointing algorithm that work with eager execution, and is implemented at Megenine, a deep learning framework. Read this blogpost to learn more!
- Training 3x larger model on the same GPU cards
RepLKNet
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How to speedup 31*31 conv 10 times
Official MegEngine implementation of RepLKNet：https://github.com/MegEngine/RepLKNet
What are some alternatives?
DALI - A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
CREStereo - Official MegEngine implementation of CREStereo(CVPR 2022 Oral).
executorch - On-device AI across mobile, embedded and edge for PyTorch
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
taco - The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
mtensor - a c++/cuda template library for tensor lazy evaluation
ivy - The Unified AI Framework
pymport - Use Python libraries from Node.js