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The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
OpenMMLab Detection Toolbox and Benchmark
Depp Learning Tomato Leaf Disease Prediction project deployment using flask, Keras, TensorFlow, sklearn libraries.
Prediction of tomato leaf diseases using Le-Net
Using Deep Learning for Tomato Leaves Disease Detection
Utilize object detection to detect various tomato species on iOS
A Django based web project that uses custom YOLO model, trained on google open images, to detect and count number of fruits(Apple, Mango, Orange, Pomegranate, tomato) in an image.
A collection of papers about Transformer in the field of medical image analysis.
A curated list of articles that cover the software engineering best practices for building machine learning applications.
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
PyMC educational resources
Collection of articles listing reasons why data science projects fail.
Training PyTorch models with differential privacy
A list of references to the most popular research methodologies in software engineering and business information systems.
Benchmarks for robustness against malicious adversaries of machine learning models
Tutorial on Adversarial Machine Learning
Python Framework to analyse Git repositories
Software Engineering for AI/ML -- An Annotated Bibliography
Foolbox Native brings native performance to Foolbox
PyTorch deep learning projects made easy.
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to k…
TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation