PDN
d2l-en
| PDN | d2l-en | |
|---|---|---|
| 1 | 6 | |
| 57 | 21,759 | |
| - | 1.6% | |
| 0.0 | 8.5 | |
| over 1 year ago | 19 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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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.
PDN
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?
awesome-graph-classification - A collection of important graph embedding, classification and representation learning papers with implementations.
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
gnn - TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
TF-Watcher - Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle
gnn-lspe - Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
99-ML-Learning-Projects - A list of 99 machine learning projects for anyone interested to learn from coding and building projects
karateclub - Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
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.