COLLECTED BY

Organization: Archive Team

Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.

History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.

The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.

This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.

Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.

The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.

Collection: Archive Team: URLs

TIMESTAMPS

The Wayback Machine - https://web.archive.org/web/20221017081111/http://github.com/topics/deep-learning-tutorial

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deep-learning-tutorial

Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.

Here are 339 public repositories matching this topic...

AlexeyAB / darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep-neural-networks computer-vision deep-learning neural-network dnn yolo object-detection deep-learning-tutorial yolov3 yolov4 scaledyolov4 scaled-yolov4

Updated Sep 27, 2022
C

ChristosChristofidis / awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

machine-learning awesome deep-learning neural-network recurrent-networks awesome-list deep-learning-tutorial deep-networks face-images

Updated Aug 23, 2022

instillai / TensorFlow-Course

📡 Simple and ready-to-use tutorials for TensorFlow

python deep-learning tensorflow deep-learning-tutorial

Updated Aug 13, 2021
Jupyter Notebook

ShusenTang / Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

natural-language-processing computer-vision deep-learning pytorch deep-learning-tutorial d2l pytorch-tutorial

Updated Oct 14, 2021
Jupyter Notebook

annotated_deep_learning_paper_implementations

labmlai / annotated_deep_learning_paper_implementations

Sponsor

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

machine-learning reinforcement-learning deep-learning transformers pytorch transformer gan neural-networks attention deep-learning-tutorial optimizers

Updated Sep 24, 2022
Jupyter Notebook

ujjwalkarn / Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

list machine-learning awesome deep-neural-networks deep-learning neural-network neural-networks awesome-list machinelearning deeplearning deep-learning-tutorial

Updated Oct 11, 2022

ritchieng / the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

python deep-neural-networks deep-learning pytorch deep-learning-library deep-learning-tutorial

Updated Aug 31, 2022

MrGemy95 / Tensorflow-Project-Template

A best practice for tensorflow project template architecture.

template deep-learning neural-network tensorflow best-practices oop software-engineering tensorflow-tutorials convolutional-neural-networks deep-learning-tutorial tesnorflow

Updated Apr 21, 2022
Python

bfortuner / ml-glossary

Machine learning glossary

data-science machine-learning deep-learning neural-network cheatsheets deep-learning-tutorial

Updated Aug 26, 2022
Python

CreatCodeBuild / TensorFlow-and-DeepLearning-Tutorial

A TensorFlow & Deep Learning online course I taught in 2016

deep-learning tensorflow tensorboard deep-learning-tutorial

Updated Mar 22, 2020
Python

gluon-api / gluon-api

A clear, concise, simple yet powerful and efficient API for deep learning.

deep-learning neural-network neural-networks gluon deep-learning-tutorial deep-learning-framework imperative-programming

Updated Aug 13, 2019
Jupyter Notebook

Charmve / computer-vision-in-action

学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

machine-learning tutorial books computer-vision deep-learning neural-network notebook jupyter-notebook handbook pytorch transformer ipynb deep-learning-tutorial computer-vision-algorithms colab-notebook in-action charmve

Updated Sep 27, 2022
Jupyter Notebook

xiaohu2015 / DeepLearning_tutorials

The deeplearning algorithms implemented by tensorflow

sda tensorflow cnn lstm deep-learning-algorithms rbm mlp deep-learning-tutorial dbn

Updated Feb 27, 2019
Jupyter Notebook

MindorksOpenSource / AndroidTensorFlowMachineLearningExample

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

machine-learning deep-neural-networks deep-learning tensorflow tensorflow-tutorials deeplearning deep-learning-tutorial tensorflow-models tensorflow-examples tensorflow-android machine-learning-android

Updated Sep 10, 2020
Java

sgrvinod / Deep-Tutorials-for-PyTorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

pytorch deep-learning-tutorial neural-network-tutorials pytorch-tutorial pytorch-tutorials learning-pytorch

Updated Jan 30, 2020

SkalskiP / ILearnDeepLearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

computer-vision deep-learning neural-network numpy visualizations deep-learning-tutorial

Updated Sep 23, 2022
Jupyter Notebook

AI_Tutorial

cbamls / AI_Tutorial

精华机器学习，NLP，图像识别，深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理

elasticsearch machine-learning deep-neural-networks artificial-intelligence recommender-systems deep-learning-tutorial nlp-machine-learning artificial-intelligence-algorithms machine-learning-tutorials graph-neural-networks search-system

Updated Oct 17, 2022

roatienza / Deep-Learning-Experiments

Videos, notes and experiments to understand deep learning

nlp deep-learning speech pytorch artificial-intelligence vision deep-learning-tutorial

Updated Oct 11, 2022
Jupyter Notebook

deepgram / kur

Descriptive Deep Learning

machine-learning deep-neural-networks deep-learning neural-network speech-recognition neural-networks image-recognition speech-to-text deep-learning-tutorial

Updated Nov 4, 2020
Python

AlgoTraders / stock-analysis-engine

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Updated Sep 5, 2020
Jupyter Notebook

Wikipedia: Wikipedia