turicreate
DALI
| turicreate | DALI | |
|---|---|---|
| 2 | 5 | |
| 11,134 | 4,917 | |
| - | 1.1% | |
| 0.0 | 9.6 | |
| 6 months ago | 3 days ago | |
| C++ | C++ | |
| BSD 3-clause "New" or "Revised" License | 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.
turicreate
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Mac Studio for Deep Learning
It depends. What kind of ML will you be working with? Apple's neural engine doesn't have an SDK, but they do have https://github.com/apple/turicreate which talks to CoreML. I've been thinking of getting an Mac Studio Ultra and have been researching whether this would be a good investment considering the advances in hardware lately, as well as Apple's release schedule. Been following Tenstorrent for news about their PCIe Gen 4 cards, too. In any case my wallet is going to be hurting soon. Also, have you checked this out? https://machinelearning.apple.com/research/neural-engine-transformers
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I've got a basic prediction model using Random Forest, I'd like to convert it to Core ML model, any idea how I could do this?
What framework/library did you use to create your ML model? There is a very simplified way to create a Random Forest model using Turi create.
DALI
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[D] Will data augmentations work faster on TPUs?
Another option is DALI https://github.com/NVIDIA/DALI For my project while training EfficientNet2, it was a game changer. But it a way harder to implement in code than TorchVision or Kornia.
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DirectStorage - Loading data to GPU *directly* from the SSD drive, almost without using CPU
Check out https://github.com/nvidia/DALI
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mmap_ninja: Speedup your training dramatically by using memory-mapped files for your dataset
Small question if you are using GPU: How to this compare to GPUDirect Storage from Nvidia? can you have even more speedup by using both? I never toy with it, but the DALI project from Nvidia seem to tackle the same data loading problem.
- [D] Efficiently loading videos in PyTorch without extracting frames
What are some alternatives?
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
tensorflow - An Open Source Machine Learning Framework for Everyone
Blurry - Blurry is an easy blur library for Android
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
vision - Datasets, Transforms and Models specific to Computer Vision
executorch - On-device AI across mobile, embedded and edge for PyTorch
DREAMPlace - Deep learning toolkit-enabled VLSI placement
MegEngine - MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
ocaml-torch - OCaml bindings for PyTorch
SlowFast - PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Image Steganography - ✔️ Hide a secret message in an image