torchview
d2l-en
| torchview | d2l-en | |
|---|---|---|
| 2 | 6 | |
| 702 | 21,759 | |
| - | 1.6% | |
| 0.0 | 8.5 | |
| 9 days ago | 18 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
torchview
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NNViz can visualize any pytorch model
The only exception I found is Torchview, but I was unaware of its existence until recently, since both NNViz and Torchview were created roughly 3 months ago. Torchview is really cool, has some unique and interesting features and seems pretty well done, you should try it.
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Package for visualizing pytorch models
If you wanted to checkout the repo for the project, see here
d2l-en
- which book to chose for deep learning :lan Goodfellow or francois chollet
- d2l-en: Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
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How to pre-train BERT on different objective tasks using HuggingFace
There might is bert library for pre-train bert model in huggingface, But I suggestion that you train bert model in native pytorch to understand detail, Limu's course is recommended for you
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The Transformer in Machine Translation
GitHub's article on Dive into Deep Learning
- D2l-En
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I created a way to learn machine learning through Jupyter
There are actually some online books and courses built on Jupyter Notebook ([Dive to Deep Learning Book](https://github.com/d2l-ai/d2l-en) for example). However yours is more detail and could really helps beginners.
What are some alternatives?
pytest-visual - A visual testing framework for ML with automated change detection
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
ManimML - ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
pytorch-symbolic - Provides symbolic API for model creation in PyTorch.
TF-Watcher - Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
99-ML-Learning-Projects - A list of 99 machine learning projects for anyone interested to learn from coding and building projects
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials - A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
nnviz - Torch nn vizualization
petastorm - Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.