tbparse
d2l-en
| tbparse | d2l-en | |
|---|---|---|
| 1 | 6 | |
| 158 | 21,704 | |
| - | 1.3% | |
| 5.9 | 8.5 | |
| 5 months ago | 12 days ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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tbparse
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[P] tbparse: Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow
The package is open source (https://github.com/j3soon/tbparse) and the usages are documented in detail (https://tbparse.readthedocs.io/en/latest/). My friends and I have been using it for a while and find it very convenient, so I think some of you may benefit from it. I would be happy to hear your feedback and feature requests.
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?
tensorboardX - tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
oneline - Read a text file, one line at a time
DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
TF-Watcher - Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
99-ML-Learning-Projects - A list of 99 machine learning projects for anyone interested to learn from coding and building projects
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
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.
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)