# Awesome Google Colab Notebooks

## Computer Vision Google Colab Notebooks

* **Google DayDream** Produce dream-alike imagery [link](https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/generative/deepdream.ipynb)
* **Big GAN** Produce photorealistic images [link](https://colab.research.google.com/github/tensorflow/hub/blob/master/examples/colab/biggan_generation_with_tf_hub.ipynb)
* **Style Transfer** Transfer style of an image to another [link](https://colab.research.google.com/github/tensorflow/lucid/blob/master/notebooks/differentiable-parameterizations/style_transfer_2d.ipynb)
* **DeOldify** Colorization of Videos [link](https://colab.research.google.com/github/jantic/DeOldify/blob/master/VideoColorizerColab.ipynb)
* **3D Ken Burns Effect** 3D depth video of a photo [link](https://colab.research.google.com/drive/1hxx4iSuAOyeI2gCL54vQkpEuBVrIv1hY)
* **First Order Motion model** Transfers facial movements from video footage to an image [link](https://colab.research.google.com/github/AliaksandrSiarohin/first-order-model/blob/master/demo.ipynb#scrollTo=UCMFMJV7K-ag)
* **WiKi Art** Create Images using Art works just like Art in AI [link](https://colab.research.google.com/github/Norod/my-colab-experiments/blob/master/WikiArt_Example_Generation_By_Peter_Baylies.ipynb)
* **StyleGAN 2** Generate Facial Human Images using improved GAN [link](https://colab.research.google.com/drive/1ShgW6wohEFQtqs_znMna3dzrcVoABKIH)
* **Edge Detection** Use open cv to detect edges of the various images and videos [link](https://colab.research.google.com/drive/10ZIvyVgDjGlWd09LJZzwboQs-4RPlCut)
* **Learn to paint** Teach machines to paint like human painters [link](https://colab.research.google.com/github/mrm8488/shared_colab_notebooks/blob/master/custom_learningtopaint.ipynb)
* **TwinGan** Unsupervised image translation for Human portraits [link](https://colab.research.google.com/github/mrm8488/shared_colab_notebooks/blob/master/TWINGAN_manu.ipynb)
* **Face Swap GAN** Takes 2 videos and swap faces [link](https://colab.research.google.com/github/shaoanlu/faceswap-GAN/blob/master/colab_demo/faceswap-GAN_colab_demo.ipynb#scrollTo=MiOo3478pJg9)
* **Traffic Counting** Counts the traffic on roads [link](https://colab.research.google.com/drive/12N4m_RYKqrpozRzh9qe7nQE_sIqQH9U8)
* **FaceBook detectron2** For object detection, covering bounding box and object instance segmentation outputs [link](https://colab.research.google.com/drive/16jcaJoc6bCFAQ96jDe2HwtXj7BMD_-m5)
* **DeepFaceLab** Generate High quality DeepFake Videos [link](https://colab.research.google.com/github/chervonij/DFL-Colab/blob/master/DFL_Colab_1-0.ipynb)
* **3D Feature Visualization** Produce feature visualizations on 3D mesh surfaces [link](https://colab.research.google.com/github/tensorflow/lucid/blob/master/notebooks/differentiable-parameterizations/texture_synth_3d.ipynb)
* **Lucid Modelzoo** Visualize neural networks [link](https://colab.research.google.com/github/tensorflow/lucid/blob/master/notebooks/modelzoo.ipynb)
* **YOLO V3** Object detection using Yolo [link](https://colab.research.google.com/drive/1lTGZsfMaGUpBG4inDIQwIJVW476ibXk_)
* **Clothe image classification** Classify clothing images [link](https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/keras/classification.ipynb#scrollTo=FbVhjPpzn6BM)
* **Pneumonia detection** Detect pneumonia from medical x-ray images [link](https://colab.research.google.com/github/mdai/ml-lessons/blob/master/lesson3-rsna-pneumonia-detection-kaggle.ipynb)
* **Breast cancer detection** Detect breast cancer from pre-trained data sets [link](https://colab.research.google.com/drive/12DKmhi5z5Qx84iJQ8FTq5hHsG5UUHUcG)
* **Imaging - Amaretto** Amaretto is the software toolbox for network Biology [link](https://colab.research.google.com/drive/14u1KZJ3Gf-9qjDycyBKzBiN5VzzOa2xU)
* **Waifu 2x** Upscale photo and video quality [link](https://github.com/mphirke/Google-Colab-waifu2x-chainer)
* **Twitter Trends** Get a list of trending news on twitter [link](https://colab.research.google.com/drive/1WIcVZgbrU0DYOQqaxuaCLKY6CoLBV18O#scrollTo=xNdTFUOmBWM0)
* **Mask R-CNN** Object detection using Mask R-CNN [link](https://colab.research.google.com/github/tensorflow/tpu/blob/master/models/official/mask_rcnn/mask_rcnn_demo.ipynb)
* **PiFu HD** 3D Human Digitalisation [link](https://colab.research.google.com/drive/1GFSsqP2BWz4gtq0e-nki00ZHSirXwFyY)
* **Sudoku Solver** Solve sudoku using SatNet [link](https://colab.research.google.com/drive/1dRfepPLEE8N6BBZhXz8bbLDcPnRKaOcJ)
* **GPT2 Adventure** GPT2 based game [link](https://colab.research.google.com/drive/1khUaPex-gyk1wXXLuqcopiWmHmcKl4UP#scrollTo=H7LoMj4GA4n_)
* **Atari Games** Train an agent to play Atari Games [link](https://colab.research.google.com/drive/1iYK11yDzOOqnrXi1Sfjm1iekZr4cxLaN#scrollTo=hyyN-2qyK_T2)
* **Cartoon GAN** Cartoonize your photos [link](https://colab.research.google.com/github/TobiasSunderdiek/cartoon-gan/blob/master/CartoonGAN.ipynb)
* **Hall of Faces** Detect faces in any photo [link](https://colab.research.google.com/drive/1lJWquGmKoMm68qNuwjSnfMjjIi-UTzI1)
* **Chrome Dino Game** Bot that plays chrome dino game [link](https://github.com/SaralTayal123/ChromeDinoAI/blob/master/DinoAI.ipynb)
* **Plant Classification** A plant seedling classifier [link](https://colab.research.google.com/drive/1y0pgDW_0r4tPSk6URgWc3UekejIKBxDd)
* **Cascade R-CNN** Object detection using Cascade RCNN [link](https://colab.research.google.com/github/tugstugi/dl-colab-notebooks/blob/master/notebooks/Open_MMLab_Detection_Toolbox_Cascade_RCNN.ipynb)
* **Pedestrian Tracking** Pedestrian Tracking with YOLOv3 and DeepSORT [link](https://colab.research.google.com/github/tugstugi/dl-colab-notebooks/blob/master/notebooks/DeepSORT_YOLOv3.ipynb)
* **Segment Cars & Streets** Real Time Semantic Segmentation with LightNet++ [link](https://colab.research.google.com/github/tugstugi/dl-colab-notebooks/blob/master/notebooks/LightNetPlusPlus.ipynb)
* **LipGAN** Generate lip motion [link](https://colab.research.google.com/github/tugstugi/dl-colab-notebooks/blob/master/notebooks/LipGAN.ipynb)
* **Deeplab V3** Semantic Segmentation using Torchvision Deeplab v3 [link](https://colab.research.google.com/github/tugstugi/dl-colab-notebooks/blob/master/notebooks/TorchvisionDeepLabV3.ipynb)
* **OpenPose** Pose Detection with OpenPose [link](https://colab.research.google.com/github/tugstugi/dl-colab-notebooks/blob/master/notebooks/OpenPose.ipynb)
* **DensePose** Pose Detection with DensePose [link](https://colab.research.google.com/github/tugstugi/dl-colab-notebooks/blob/master/notebooks/DensePose.ipynb)
* **Text Detection** Text Detection in a scene with PixelLink [link](https://colab.research.google.com/github/tugstugi/dl-colab-notebooks/blob/master/notebooks/PixelLink.ipynb)
* **Face Tracker** Track and Segment Persons with SiamMask [link](https://colab.research.google.com/github/tugstugi/dl-colab-notebooks/blob/master/notebooks/SiamMask.ipynb)
* **Image Upsampler** Upsample Images and generate HQ resolution with Pulse [link](https://colab.research.google.com/github/ctawong/PULSE_from_image_url/blob/master/PULSE_URL.ipynb)
* **Super Slow motion** Make any video Super SlowMo [link](https://colab.research.google.com/github/tugstugi/dl-colab-notebooks/blob/master/notebooks/SuperSloMo.ipynb)
* **Replace Background** Replace Image background with Background Matting [link](https://colab.research.google.com/gist/andreyryabtsev/243aa3eefa6e06891dda7b1583d1d08f/backmatting.ipynb)
* **3D photo in-painting** 3D Photography using Context-aware Layered Depth Inpainting [link](https://colab.research.google.com/drive/1706ToQrkIZshRSJSHvZ1RuCiM__YX3Bz)
* **Super Resolution** Image Super Resolution Prediction [link](https://colab.research.google.com/github/tugstugi/dl-colab-notebooks/blob/master/notebooks/ISR_Prediction_Tutorial.ipynb)
* **3D object detection** LiDAR point cloud based 3D object detection [link](https://github.com/gkadusumilli/Voxelnet/blob/master/VoxelNet_data_creation.ipynb)
* **Earth Engine** Interactive mapping using earth engine API and folium [link](https://colab.research.google.com/github/giswqs/qgis-earthengine-examples/blob/master/Folium/ee-api-folium-setup.ipynb)
* **OpenVINO** OpenVINO Edge developement and deployment on Google Colab [link](https://github.com/alihussainia/openvino-colab/blob/master/demo.ipynb)
* **Autonomous Vehicle** A self-driving car that manuvers itself on a two-lane track. [link](https://github.com/amanbasu/Autonomous-Car-Prototype/blob/master/Review.ipynb)
* **Image Colorization** Instance aware image colorization [link](https://colab.research.google.com/github/ericsujw/InstColorization/blob/master/InstColorization.ipynb)
* **Real Image Editing** In-Domain GAN Inversion for Real Image Editing [link](https://colab.research.google.com/github/genforce/idinvert_pytorch/blob/master/docs/Idinvert.ipynb)

## Data Science

## Jupyter Notebook

* [Data Analysis and Machine Learning Projects](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects)
* [Kalman and Bayesian Filter](https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python)
* [Jupyter Netbook for Image Compression with Deep Learning](https://colab.research.google.com/github/Justin-Tan/high-fidelity-generative-compression/blob/master/assets/HiFIC_torch_colab_demo.ipynb)