Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
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PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
- machine-learning
- deep-learning
- representation-learning
- pytorch-implementation
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
- machine-learning
- deep-learning
- python
- classification
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
- deep-learning
- depth-prediction
- visual-odometry
- self-supervised-learning
Python library for interactive topic model visualization. Port of the R LDAvis package.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
- medical-imaging
- medical-ai
- deep-learning
- machine-learning
WeVisOne-VL is a powerful VLM by the WeChat Vision Team at Tencent, unifying object-level and pixel-level perception from points and boxes to masks and alpha mattes.
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
- jupyter
- jupyter-notebook
- python
- plotting
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
- computer-vision
- visible-infrared
- low-light-image
- image-fusion
A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations
Pathology Foundation Model - Nature Medicine
- foundation
- foundation-model
- histopathology
- mahmoodlab
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
- social-network
- indiana-university
- network-science
- textbook
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
Urban Informatics and Visualization (UC Berkeley CP255)
Materials for GWU DNSC 6279 and DNSC 6290.
- data-science
- data-mining
- data-visualization
- machine-learning
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
- tensorflow
- python3
- keras
- resnet-101
TensorFlow Lite models for MIRNet for low-light image enhancement.
- tinyml
- tflite
- tensorflow2
- computer-vision
How to create a Cartoonizer Android app with TensorFlow Lite models.
- tensorflow-lite
- tflite
- computer-vision
- gans
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999
daru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.
- daru
- daru-view
- data-visualization
- plot-library
How to create Selfie2Anime from tflite model to Android.
- tensorflow-lite
- selfie2anime
- gans
- android
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
- epigenomics
- pattern-search
- data-visualization
- interactive-machine-learning
Tools for drawing 2d and 3d interactive visualizations using Jupyter proxy widgets