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awesome-google-colab

Google Colaboratory Notebooks and Repositories (by @firmai)
https://github.com/firmai/awesome-google-colab

Last synced: 25 days ago
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Applications

  • Photogrammetry - Render Photogrammetry With Colab's Cloud GPU's With Meshroom.
  • RLTrader - A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
  • TF Quant Finance - High-performance TensorFlow library for quantitative finance.
  • Rapping NN - Rap song writing recurrent neural network trained on Kanye West's entire discography
  • dl4g - Deep Learning for Graphics
  • DocProduct - Medical Q&A with Deep Language Models
  • LSTM Predictive Maintenance - Example of Multiple Multivariate Time Series Prediction with LSTM
  • TensorTrade - An open source reinforcement learning framework for robust trading agents

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

Technologies

  • BentoML - A platform for serving and deploying machine learning models
  • BERT - TensorFlow code and pre-trained models for BERT
  • XLNet - XLNet: Generalized Autoregressive Pretraining for Language Understanding
  • 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
  • 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
  • Spleeter - Deezer source separation library including pretrained models.
  • TTS - Deep learning for Text to Speech
  • Dopamine - Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
  • TF Agents - TF-Agents is a library for Reinforcement Learning in TensorFlow
  • TF Generative Models - mplementations of a number of generative models in Tensorflow
  • DQN to Rainbow - A step-by-step tutorial from DQN to Rainbow
  • 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!"
  • 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.
  • Transfer learning NLP - code for the tutorial on Transfer Learning in NLP held at NAACL 2019
  • BDL Benchmarks - Bayesian Deep Learning Benchmarks
  • Altair - Declarative statistical visualization library for Python
  • Sonnet - TensorFlow-based neural network library
  • bsuite - Collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
  • OpenSpiel - Collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
  • 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
  • JAX - Composable transformations of Python+NumPy programs

Ten Favourite Colab Notebooks