d2l-en
DeepADoTS
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| d2l-en | DeepADoTS | |
|---|---|---|
| 6 | 1 | |
| 21,628 | 538 | |
| 3.1% | 0.0% | |
| 8.7 | 0.0 | |
| about 1 month ago | almost 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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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.
DeepADoTS
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[D] Anomaly detection without training set?
Other than that, if you're looking for more complicated models you could try and adapt one of the models from this this GitHub repo for your task (this is an open source repo of some SOTA anomaly detection models).
What are some alternatives?
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
TF-Watcher - Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle
neural_prophet - NeuralProphet: A simple forecasting package
99-ML-Learning-Projects - A list of 99 machine learning projects for anyone interested to learn from coding and building projects
Informer2020 - The GitHub repository for the paper "Informer" accepted by AAAI 2021.
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
luminaire - Luminaire is a python package that provides ML driven solutions for monitoring time series data.
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.
pytorch-forecasting - Time series forecasting with PyTorch
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
learning-topology-synthetic-data - Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)