Comparing MobileNet and EfficientNet on Glaucoma Detection

The official implementation of paper: "Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning"

A collection of AWESOME things about domian adaptation

autoupdate paper list

Files relevant for my bachelor thesis on different automatic emotion recognition approaches

From Python basics to Machine Learning and PyTorch Deep Learning - one day at a time, explore it all

common wrapper for securities API

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

Image Content Filtering Using CNN and Transfer Learning

Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.

Optical character recognition (OCR) for car plate recognition

[ECCV2024] The code of "SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning"

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

A deep learning-based system for predicting lung cancer from CT scan images using Convolutional Neural Networks (CNN). This project utilizes the Xception model for image classification into four categories: Normal, Adenocarcinoma, Large Cell Carcinoma, and Squamous Cell Carcinoma.

Fast and Accurate ML in 3 Lines of Code

AI-Powered Driver Monitoring System.

Image classification of superficial fungal infections (dermatomycoses) w/ CNN and Transfer Learning (EfficientNetV2)

This project aims to explore satellite image dataset in order to create a CNN model for wildfire prediction problem. Explainability with ELI5 and GradCAM could be an interesting integration to be tested.

scalable molecular simulation