TF-Watcher
d2l-en
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TF-Watcher | d2l-en | |
---|---|---|
3 | 6 | |
59 | 21,628 | |
- | 3.1% | |
0.0 | 8.7 | |
11 months ago | about 1 month ago | |
Python | Python | |
Apache License 2.0 | 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.
TF-Watcher
- Monitor ML training on mobile devices
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[D] Paper Explained - Fastformer: Additive Attention Can Be All You Need (Full Video Analysis)
Thanks for the great video. Inspired by your video and an existing implementation, I tried to implement this paper: https://github.com/Rishit-dagli/TF-Watcher
- Monitor your ML job from mobile phones
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?
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bibaandboba - Python package for analyzing Telegram chats and finding correlations between people
DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
hyperglass - hyperglass is the network looking glass that tries to make the internet better.
99-ML-Learning-Projects - A list of 99 machine learning projects for anyone interested to learn from coding and building projects
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
pypi-github-sync - Upload your Python package to PyPI with latest Github version tag.
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.
jina - ☁️ Build multimodal AI applications with cloud-native stack
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)