GPflow
d2l-en
| GPflow | d2l-en | |
|---|---|---|
| 1 | 6 | |
| 1,799 | 21,759 | |
| 0.4% | 1.6% | |
| 5.8 | 8.5 | |
| 7 days ago | 14 days ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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GPflow
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?
whylogs - An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
mosec - A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
TF-Watcher - Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle
PILCO - Bayesian Reinforcement Learning in Tensorflow
99-ML-Learning-Projects - A list of 99 machine learning projects for anyone interested to learn from coding and building projects
Point-Processes - This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A Machine Learning Perspective.
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
uq-vae - Solving Bayesian Inverse Problems via Variational Autoencoders
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.