A Practical Approach to Retrieval Augmented Generation (RAG) Systems - Ebook

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Easily define and reuse complex Python objects that serialize into JSON or YAML

List of Events for Autonomous Driving Engineers and Developers

Ray tutorials from Anyscale

Deepfakes Software For All

from deekfakes' faceswap: https://www.reddit.com/user/deepfakes/

Using GANs to augment medical imaging data to improve classification accuracy

Code for the paper 'Generative Adversarial Network based Synthesis for Supervised Medical Image Segmentation'

3D conditional GAN for medical image segmentation

Project to improve the performance of computer vision models on medical data by generating new images for training using a DCGAN

Final project for medical image processing with deep learning. GAN for data augmentation for spleen segmentation

Implementation of the technique introduced in the paper "GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification" from Frid-Adar et al. in 2018, …

Generating randomized brain MRI images from random noise using a GAN. Additionally translating from one image domain to another with a conditional GAN (pix2pix): Segmenting brain anatomy - Generati…

Generating Medical Images using GANs

This is a copy of package for medical image synthesis work with LRes-ResUnet and GAN (wgan-gp) in pytorch framework

LUNA16-Lung-Nodule-Analysis-2016-Challenge

PyTorch implementation of COVID-Net https://github.com/lindawangg/COVID-Net

Data science interview questions and answers

RLtime is a reinforcement learning library focused on state-of-the-art q-learning algorithms and features

Reinforcement Learning Environment for CARLA Autonomous Driving Simulator

Data Augmentation For Object Detection

A curated list of awesome computer vision resources

PyTorch implementation of the YOLO (You Only Look Once) v2