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

The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".

Kernelized-HRM Jiashuo Liu, Zheyuan Hu The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization"[1]. This repo contains the cod

Liu Jiashuo 8 Nov 20, 2022
Pytorch implementation of ProjectedGAN

ProjectedGAN-pytorch Pytorch implementation of ProjectedGAN (https://arxiv.org/abs/2111.01007) Note: this repository is still under developement. @InP

Dominic Rampas 17 Dec 14, 2022
The original weights of some Caffe models, ported to PyTorch.

pytorch-caffe-models This repo contains the original weights of some Caffe models, ported to PyTorch. Currently there are: GoogLeNet (Going Deeper wit

Katherine Crowson 9 Nov 04, 2022
frida工具的缝合怪

fridaUiTools fridaUiTools是一个界面化整理脚本的工具。新人的练手作品。参考项目ZenTracer,觉得既然可以界面化,那么应该可以把功能做的更加完善一些。跨平台支持:win、mac、linux 功能缝合怪。把一些常用的frida的hook脚本简单统一输出方式后,整合进来。并且

diveking 997 Jan 09, 2023
SLAMP: Stochastic Latent Appearance and Motion Prediction

SLAMP: Stochastic Latent Appearance and Motion Prediction Official implementation of the paper SLAMP: Stochastic Latent Appearance and Motion Predicti

Kaan Akan 34 Dec 08, 2022
Inferring Lexicographically-Ordered Rewards from Preferences

Inferring Lexicographically-Ordered Rewards from Preferences Code author: Alihan Hüyük ([e

Alihan Hüyük 1 Feb 13, 2022
Stitch it in Time: GAN-Based Facial Editing of Real Videos

STIT - Stitch it in Time [Project Page] Stitch it in Time: GAN-Based Facial Edit

1.1k Jan 04, 2023
Pre-Trained Image Processing Transformer (IPT)

Pre-Trained Image Processing Transformer (IPT) By Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Cha

HUAWEI Noah's Ark Lab 332 Dec 18, 2022
Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.

Deep Vision and Graphics This repo supplements course "Deep Vision and Graphics" taught at YSDA @fall'21. The course is the successor of "Deep Learnin

Yandex School of Data Analysis 160 Jan 02, 2023
Gauge equivariant mesh cnn

Geometric Mesh CNN The code in this repository is an implementation of the Gauge Equivariant Mesh CNN introduced in the paper Gauge Equivariant Mesh C

50 Dec 18, 2022
MPI-IS Mesh Processing Library

Perceiving Systems Mesh Package This package contains core functions for manipulating meshes and visualizing them. It requires Python 3.5+ and is supp

Max Planck Institute for Intelligent Systems 494 Jan 06, 2023
Implementations of polygamma, lgamma, and beta functions for PyTorch

lgamma Implementations of polygamma, lgamma, and beta functions for PyTorch. It's very hacky, but that's usually ok for research use. To build, run: .

Rachit Singh 24 Nov 09, 2021
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion Yinghao Aaron Li, Ali Zare, Nima Mesgarani We pres

Aaron (Yinghao) Li 282 Jan 01, 2023
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

AST: Audio Spectrogram Transformer Introduction Citing Getting Started ESC-50 Recipe Speechcommands Recipe AudioSet Recipe Pretrained Models Contact I

Yuan Gong 603 Jan 07, 2023
Source code for Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning

Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning Official implementation of ACC, described in the paper "Adaptively Calibrated C

3 Sep 16, 2022
The repo contains the code to train and evaluate a system which extracts relations and explanations from dialogue.

The repo contains the code to train and evaluate a system which extracts relations and explanations from dialogue. How do I cite D-REX? For now, cite

Alon Albalak 6 Mar 31, 2022
Securetar - A streaming wrapper around python tarfile and allow secure handling files and support encryption

Secure Tar Secure Tarfile library It's a streaming wrapper around python tarfile

Pascal Vizeli 2 Dec 09, 2022
Adds timm pretrained backbone to pytorch's FasterRcnn model

Operating Systems Lab (ETCS-352) Experiments for Operating Systems Lab (ETCS-352) performed by me in 2021 at uni. All codes are written by me except t

Mriganka Nath 12 Dec 03, 2022
Code for "OctField: Hierarchical Implicit Functions for 3D Modeling (NeurIPS 2021)"

OctField(Jittor): Hierarchical Implicit Functions for 3D Modeling Introduction This repository is code release for OctField: Hierarchical Implicit Fun

55 Dec 08, 2022
The open-source and free to use Python package miseval was developed to establish a standardized medical image segmentation evaluation procedure

miseval: a metric library for Medical Image Segmentation EVALuation The open-source and free to use Python package miseval was developed to establish

59 Dec 10, 2022