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D2l-en Alternatives
Similar projects and alternatives to d2l-en
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einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
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Judoscale
Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
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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.
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99-ML-Learning-Projects
A list of 99 machine learning projects for anyone interested to learn from coding and building projects
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DeepADoTS
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
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Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
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InfluxDB
InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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textgenrnn
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
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notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book (by nlp-with-transformers)
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better d2l-en alternative or higher similarity.
d2l-en discussion
d2l-en reviews and mentions
Posts with mentions or reviews of d2l-en.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-10.
- 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.
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Stats
Basic d2l-en repo stats
6
25,610
2.9
8 months ago
d2l-ai/d2l-en is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of d2l-en is Python.
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