Hello-Kaggle
d2l-en
Hello-Kaggle | d2l-en | |
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4 | 6 | |
78 | 21,858 | |
- | 2.0% | |
3.8 | 8.5 | |
over 3 years ago | 4 days ago | |
Python | ||
MIT License | GNU General Public License v3.0 or later |
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Hello-Kaggle
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?
machine-learning-roadmap - A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
lemon-dataset - Lemons quality control dataset
DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
apple-appstore-apps - Apple AppStore Apps dataset. (1.2 million App Data) and 21 attributes
TF-Watcher - Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle
datasets-for-good - List of datasets to apply stats/machine learning/technology to the world of social good.
99-ML-Learning-Projects - A list of 99 machine learning projects for anyone interested to learn from coding and building projects
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
dataset-registry - Dataset registry DVC project
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.