Awesome-google-colab - Google Colaboratory Notebooks and Repositories

Overview

Unofficial Google Colaboratory Notebook and Repository Gallery

Please contact me to take over and revamp this repo (it gets around 30k views and 200k clicks per year), I don't have time to update or maintain it - message 15/03/2021

A curated list of repositories with fully functional click-and-run colab notebooks with data, code and description. The code in these repositories are in Python unless otherwise stated.

To learn more about they whys and hows of Colab see this post. For a few tips and tricks see this post.

If you have just a single notebook to submit, use the website https://google-colab.com/, it is really easy, on the top right corner click 'submit +'. The earlier you post the more visibility you will get over time

Caution: This is a work in progress, please contribute by adding colab functionality to your own data science projects on github or requestion it from the authors.


If you want to contribute to this list (please do), send me a pull request or contact me @dereknow or on linkedin. Also, a listed repository should be fixed or removed:

  • if there are no data or descriptive text in the notebooks.
  • the code throws out errors.


Apart from the colab-enabled repositories listed below, you can also with a bit of work run github jupyter notebooks directly on Google Colaboratory using CPU/GPU/TPU runtimes by replacing https://github.com in the URL by https://colab.research.google.com/github/. No local installation of Python is required. Of course, these notebooks would have to be adapted to ingest the necessary data and modules.

Search for 'Colab' or the 'Open in Colab' Badge to Open the Colabotary Notebooks in Each Repository

Ten Favourite Colab Notebooks

For more see https://google-colab.com/

Repository Table of Contents

Course and Tutorial

  • Python Data Science Notebook - Python Data Science Handbook: full text in Jupyter Notebooks

  • ML and EDA - Functional, data science centric introduction to Python.

  • Python Business Analytics - Python solutions to solve practical business problems.

  • Deep Learning Examples - Try out deep learning models online on Google Colab

  • Hvass-Labs - TensorFlow Tutorials with YouTube Videos

  • MIT deep learning - Tutorials, assignments, and competitions for MIT Deep Learning related courses.

  • NLP Tutorial - Natural Language Processing Tutorial for Deep Learning Researchers

  • DeepSchool.io - Deep Learning tutorials in jupyter notebooks.

  • Deep NLP Course - A deep NLP Course

  • pyprobml - Python code for "Machine learning: a probabilistic perspective"

  • MIT 6.S191 - Lab Materials for MIT 6.S191: Introduction to Deep Learning

  • HSE NLP - Resources for "Natural Language Processing" Coursera course

  • Real Word NLP - Example code for "Real-World Natural Language Processing"

  • Notebooks - Machine learning notebooks in different subjects optimized to run in google collaboratory

Technologies

Text

  • BERT - TensorFlow code and pre-trained models for BERT

  • XLNet - XLNet: Generalized Autoregressive Pretraining for Language Understanding

  • DeepPavlov Tutorials - An open source library for deep learning end-to-end dialog systems and chatbots.

  • TF NLP - Projects, Practice, NLP, TensorFlow 2, Google Colab

  • SparkNLP - State of the Art Natural Language Processing

  • Deep Text Recognition - Text recognition (optical character recognition) with deep learning methods.

  • BERTScore - Automatic Evaluation Metric for Bert.

  • Text Summurisation - Multiple implementations for abstractive text summurization

  • GPT-2 Colab - Retrain gpt-2 in colab

Image

  • DeepFaceLab - DeepFaceLab is a tool that utilizes machine learning to replace faces in videos.

  • CycleGAN and PIX2PIX - Image-to-Image Translation in PyTorch

  • DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)

  • Detectron2 - Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

  • EfficientNet - PyTorch - A PyTorch implementation of EfficientNet

  • Faceswap GAN - A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

  • Neural Style Transfer - Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style"

  • Compare GAN - Compare GAN code

  • hmr - Project page for End-to-end Recovery of Human Shape and Pose

Voice

  • Spleeter - Deezer source separation library including pretrained models.

  • TTS - Deep learning for Text to Speech

Reinforcement Learning

  • Dopamine - Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

  • Sonnet - TensorFlow-based neural network library

  • OpenSpiel - Collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

  • TF Agents - TF-Agents is a library for Reinforcement Learning in TensorFlow

  • bsuite - Collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

  • TF Generative Models - mplementations of a number of generative models in Tensorflow

  • DQN to Rainbow - A step-by-step tutorial from DQN to Rainbow

Visualisation

  • Altair - Declarative statistical visualization library for Python

  • Altair Curriculum - A data visualization curriculum of interactive notebooks.

  • bertviz - Tool for visualizing attention in the Transformer model

  • TF Graphics - TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow

  • deepreplay - Generate visualizations as in my "Hyper-parameters in Action!"

Operational

  • PySyft - A library for encrypted, privacy preserving machine learning

  • Mindsdb - Framework to streamline use of neural networks

  • Ranking - Learning to Rank in TensorFlow

  • TensorNetwork - A library for easy and efficient manipulation of tensor networks.

  • JAX - Composable transformations of Python+NumPy programs

  • BentoML - A platform for serving and deploying machine learning models

Other

Applications

Finance

  • RLTrader - A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

  • TF Quant Finance - High-performance TensorFlow library for quantitative finance.

  • TensorTrade - An open source reinforcement learning framework for robust trading agents

Artistic

  • Rapping NN - Rap song writing recurrent neural network trained on Kanye West's entire discography

  • dl4g - Deep Learning for Graphics

Medical

  • DocProduct - Medical Q&A with Deep Language Models

Operations

Blender Python - Node-based multi-line text and image flowchart

MindMapper v0.8 Node-based text and image flowchart for Blender Mindmap with shortcuts visible: Mindmap with shortcuts hidden: Notes This was requeste

SpectralVectors 58 Oct 08, 2022
Source code for paper "Deep Superpixel-based Network for Blind Image Quality Assessment"

DSN-IQA Source code for paper "Deep Superpixel-based Network for Blind Image Quality Assessment" Requirements Python =3.8.0 Pytorch =1.7.1 Usage wit

7 Oct 13, 2022
An easy-to-use app to visualise attentions of various VQA models.

Ask Me Anything: A tool for visualising Visual Question Answering (AMA) An easy-to-use app to visualise attentions of various VQA models. Please click

Apoorve 37 Nov 13, 2022
Discriminative Condition-Aware PLDA

DCA-PLDA This repository implements the Discriminative Condition-Aware Backend described in the paper: L. Ferrer, M. McLaren, and N. Brümmer, "A Speak

Luciana Ferrer 31 Aug 05, 2022
Official pytorch implementation of DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces

DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces Minhyuk Sung*, Zhenyu Jiang*, Panos Achlioptas, Niloy J. Mitra, Leonidas

Zhenyu Jiang 21 Aug 30, 2022
The dataset of tweets pulling from Twitters with keyword: Hydroxychloroquine, location: US, Time: 2020

HCQ_Tweet_Dataset: FREE to Download. Keywords: HCQ, hydroxychloroquine, tweet, twitter, COVID-19 This dataset is associated with the paper "Understand

2 Mar 16, 2022
Code release for General Greedy De-bias Learning

General Greedy De-bias for Dataset Biases This is an extention of "Greedy Gradient Ensemble for Robust Visual Question Answering" (ICCV 2021, Oral). T

4 Mar 15, 2022
TensorFlow for Raspberry Pi

TensorFlow on Raspberry Pi It's officially supported! As of TensorFlow 1.9, Python wheels for TensorFlow are being officially supported. As such, this

Sam Abrahams 2.2k Dec 16, 2022
deep-prae

Deep Probabilistic Accelerated Evaluation (Deep-PrAE) Our work presents an efficient rare event simulation methodology for black box autonomy using Im

Safe AI Lab 4 Apr 17, 2021
Differential Privacy for Heterogeneous Federated Learning : Utility & Privacy tradeoffs

Differential Privacy for Heterogeneous Federated Learning : Utility & Privacy tradeoffs In this work, we propose an algorithm DP-SCAFFOLD(-warm), whic

19 Nov 10, 2022
Taichi Course Homework Template

太极图形课S1-标题部分 这个作业未来或将是你的开源项目,标题的内容可以来自作业中的核心关键词,让读者一眼看出你所完成的工作/做出的好玩demo 如果暂时未想好,起名时可以参考“太极图形课S1-xxx作业” 如下是作业(项目)展开说明的方法,可以帮大家理清思路,并且也对读者非常友好,请小伙伴们多多参

TaichiCourse 30 Nov 19, 2022
SOFT: Softmax-free Transformer with Linear Complexity, NeurIPS 2021 Spotlight

SOFT: Softmax-free Transformer with Linear Complexity SOFT: Softmax-free Transformer with Linear Complexity, Jiachen Lu, Jinghan Yao, Junge Zhang, Xia

Fudan Zhang Vision Group 272 Dec 25, 2022
Code release for "MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound"

merlot_reserve Code release for "MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound" MERLOT Reserve (in submission) is a mo

Rowan Zellers 92 Dec 11, 2022
Convert Python 3 code to CUDA code.

Py2CUDA Convert python code to CUDA. Usage To convert a python file say named py_file.py to CUDA, run python generate_cuda.py --file py_file.py --arch

Yuval Rosen 3 Jul 14, 2021
This package contains deep learning models and related scripts for RoseTTAFold

RoseTTAFold This package contains deep learning models and related scripts to run RoseTTAFold This repository is the official implementation of RoseTT

1.6k Jan 03, 2023
Codebase for the self-supervised goal reaching benchmark introduced in the LEXA paper

LEXA Benchmark Codebase for the self-supervised goal reaching benchmark introduced in the LEXA paper (Discovering and Achieving Goals via World Models

Oleg Rybkin 36 Dec 22, 2022
The official implementation of Theme Transformer

Theme Transformer This is the official implementation of Theme Transformer. Checkout our demo and paper : Demo | arXiv Environment: using python versi

Ian Shih 85 Dec 08, 2022
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image

NonCuboidRoom Paper Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image Cheng Yang*, Jia Zheng*, Xili Dai, Rui Tang, Yi Ma, Xiao

67 Dec 15, 2022
💊 A 3D Generative Model for Structure-Based Drug Design (NeurIPS 2021)

A 3D Generative Model for Structure-Based Drug Design Coming soon... Citation @inproceedings{luo2021sbdd, title={A 3D Generative Model for Structu

Shitong Luo 118 Jan 05, 2023
《Deep Single Portrait Image Relighting》(ICCV 2019)

Ratio Image Based Rendering for Deep Single-Image Portrait Relighting [Project Page] This is part of the Deep Portrait Relighting project. If you find

62 Dec 21, 2022