Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Artificial Intelligence Learning Notes.

A simpler way of reading and augmenting image segmentation data into TensorFlow

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

A fast tool to do image augmentation on GPU(especially elastic_deform), can be helpful to research on Medical Image.

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Image augmentation with simultaneous transformation of keypoints, bounding boxes, and segmentation mask

Run 3 scripts to (1) Synthesize images (by putting few template images onto backgrounds), (2) Train YOLOv3, and (3) Detect objects for: one image, images, video, webcam, or ROS topic.

Custom image data generator for Keras supporting the use of modern augmentation modules

A python library for instagram filters

Image rotation and cropping out the black borders in TensorFlow

This repository is containing an object classification & localization project for SINGLE object.

Pytorch implements yolov3.Good performance, easy to use, fast speed.

Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.

Online Image Augmentor in Pure Tensorflow

This repository contains the jupyter notebooks for the custom-built DenseNet Model build on Tiny ImageNet dataset

Code for the implemenation of the Patch Augmentation technique

All you need to preprocess and prepare your annotated dataset

Tensorflow implementation of U-Net for Segmentation of neuronal structures in EM stacks

🖼 Imago is an image processing project based on Image classification, Compression, Data Augmentation, and Super-Resolution using CNN, Keras, and TensorFlow.

image augmentation using opencv4nodejs

A lightweight data-augmentation library for machine learning

library to modify images and the corresponding landmarks

An image augmentation library for tensorflow. It can be used seamlessly with tf.data.Dataset