Top 10 Python Mxnet Projects
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d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
GitHub's article on Dive into Deep Learning
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Project mention: [D] PyTorch Distributed Training Libraries: What are the current options? | reddit.com/r/MachineLearning | 2021-12-07
Check out Horovod - https://github.com/horovod/horovod
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SonarLint
Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.
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Project mention: What would be the best performing face recognition model/architecture? | reddit.com/r/deeplearning | 2021-12-31
Original repo : https://github.com/deepinsight/insightface
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MMdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Project mention: [R] Importing TensorFlow neural networks stored as *.h5 | reddit.com/r/MachineLearning | 2021-12-06The only way I found online is to convert the *.h5 files to MXNet files using Microsoft model management of deep neural networks (link)
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Project mention: What will the data science job market be like in 5 years? | reddit.com/r/datascience | 2021-08-14
Some AutoML is getting pretty good, AutoGluon is very solid for tabular data. That being said you still need to have your data in tabular format and deployment still requires some effort.
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Project mention: [D] Productionalizing machine learning pipelines for small teams | reddit.com/r/MachineLearning | 2021-08-08
For running experiments, http://polyaxon.com/ is a really good free open-source package that has lots of nice integrations so you can quickly run experiments in k8s but it might be overkill in some cases.
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Project mention: good examples of functional-like python code that one can study? | reddit.com/r/functionalprogramming | 2021-06-29
thinc - defining neural nets in functional way jax, a new deep learning framework puts emphasis on functions rather than tensors, I've tested it for a couple of applications and it's really cool, you can write stuff like you'd write math expressions in papers using numpy. That speeds up development significantly, and makes code much more readable
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OPS
OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.
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DeepCamera
AI Face Recognition/Person Detection NVR. Machine Learning On The Edge, turn your Camera into AI-powered with Jetson Nano and telegram to protect your privacy.
Shinobi + DeepCamera?
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Project mention: [R] Fast Adaptation with Linearized Neural Networks | reddit.com/r/MachineLearning | 2021-03-31
Abstract: The inductive biases of trained neural networks are difficult to understand and, consequently, to adapt to new settings. We study the inductive biases of linearizations of neural networks, which we show to be surprisingly good summaries of the full network functions. Inspired by this finding, we propose a technique for embedding these inductive biases into Gaussian processes through a kernel designed from the Jacobian of the network. In this setting, domain adaptation takes the form of interpretable posterior inference, with accompanying uncertainty estimation. This inference is analytic and free of local optima issues found in standard techniques such as fine-tuning neural network weights to a new task. We develop significant computational speed-ups based on matrix multiplies, including a novel implementation for scalable Fisher vector products. Our experiments on both image classification and regression demonstrate the promise and convenience of this framework for transfer learning, compared to neural network fine-tuning. Code is available at this https URL.
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(February 28) - Unifying all Machine Learning Frameworks. This is a hands-on interactive coding session and live demo. We will explain how Ivy is solving an ML unification problem.
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- [R] Fast Adaptation with Linearized Neural Networks
Index
What are some of the best open-source Mxnet projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | d2l-en | 12,186 |
| 2 | horovod | 12,057 |
| 3 | insightface | 11,099 |
| 4 | MMdnn | 5,488 |
| 5 | autogluon | 4,071 |
| 6 | polyaxon | 2,984 |
| 7 | thinc | 2,437 |
| 8 | DeepCamera | 844 |
| 9 | xfer | 241 |
| 10 | robot | 13 |
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