mmaction2
deep-diamond
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mmaction2 | deep-diamond | |
---|---|---|
5 | 16 | |
3,863 | 412 | |
2.7% | 0.0% | |
7.8 | 7.6 | |
11 days ago | about 2 months ago | |
Python | Clojure | |
Apache License 2.0 | Eclipse Public License 1.0 |
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mmaction2
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How good does contextual action recognition get?
Mmaction2: https://github.com/open-mmlab/mmaction2 Has some examples.
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMAction2: OpenMMLab's next-generation action understanding toolbox and benchmark.
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[D] Deep Learning Framework for C++.
I agree with you for most of the time this can work but there are some models that have certain layers that are not supported by ONNX. An example would be Spatiotemporal models in mmaction2 from open-mmlab.
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Textbook or blogs for video understanding
No book or blog, but a great framework: https://github.com/open-mmlab/mmaction2
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Applications of Deep Neural Networks [pdf]
shameless ad: try mmaction2, where every result is reproducible https://github.com/open-mmlab/mmaction2 . Modelzoo: https://mmaction2.readthedocs.io/en/latest/modelzoo.html
deep-diamond
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LLaMA-rs: Run inference of LLaMA on CPU with Rust 🦀🦙
I had some "classical ML" knowledge and knew a bit about the math behind DL and tensors in general thanks to the book Deep Learning for Programmers showcased in this repo: https://github.com/uncomplicate/deep-diamond (it's not in Rust, and I'm not sure what the current state of it is, though!).
- Interactive Programming for Artificial Intelligence Book Series
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Neanderthal, Deep Diamond, and ClojureCUDA now support the latest CUDA 11.7 GPU computing platform.
Plase check out clojars, or https://neanderthal.uncomplicate.org/ https://clojurecuda.uncomplicate.org/ https://github.com/uncomplicate/deep-diamond
- Uncomplicate releases with better CUDA compatibility (Deep Diamond, Neanderthal, ClojureCUDA)
- Deep Diamond 0.22.0 released
- What are some book suggestions you have for someone that is interested in learning about neural networks?
- Reading the Deep Learning Book by Goodfellow
- Arkadaşlar biraz programlama temelim var, makine öğrenmesine girmek istiyorum, ücretsiz kaynak önerebilir misiniz?
- Some Maths Resources to Help You in Your ML Journey
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I want to quit my data analyst job and learn and become a Clojure developer
Do clojure as a side gig or in free time. Let day job pay the bills. If you can, maybe incorporate clojure into work job to solve small problems (https://github.com/clj-python/libpython-clj and https://github.com/scicloj/clojisr provide bridges to/from python and r). There is a lot of effort going into the data science side as well; the scicloj effort has resulted in a lot of growth over the last 2 years. tech.ml.dataset, tech.ml (now scicloj.ml). Dragan has a bunch of excellent stuff in neanderthal and deep diamond. There are also bindings to other jvm libraries from multiple languages.
What are some alternatives?
mmpose - OpenMMLab Pose Estimation Toolbox and Benchmark.
tech.ml.dataset - A Clojure high performance data processing system
compare_gan - Compare GAN code.
neanderthal - Fast Clojure Matrix Library
mmflow - OpenMMLab optical flow toolbox and benchmark
temporal-shift-module - [ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
clojisr - Clojure speaks statistics - a bridge between Clojure to R
Video-Dataset-Loading-Pytorch - Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.
scicloj.ml - A Clojure machine learning library
mmrotate - OpenMMLab Rotated Object Detection Toolbox and Benchmark
tablecloth - Dataset manipulation library built on the top of tech.ml.dataset