D2l-en Alternatives
Similar projects and alternatives to d2l-en
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PyTorch implementation of the U-Net for image semantic segmentation with high quality images
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DeepADoTS
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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TF-Watcher
Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle
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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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imbalanced-regression
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
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learning-topology-synthetic-data
Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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petastorm
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ScanRefer
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notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
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einops
Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
d2l-en reviews and mentions
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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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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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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.