[CVPR' 2024] Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding

Classical dynamic programming problems solution and algorithms

Image Regression Model Trainer. Built with PyTorch and 🤗.

PyTorch implementation of federated learning on MNIST

(CVPR 2024) Uniformity and Variance for Heterogeneous Federated Learning

Collection of Machine Learning algorithms implemented in Matlab/Python

Today I Learned . 내가 학습한 것들은 모두 문서로 남기고 다시 확인해볼 예정이다.

A collection of resources on applications of multi-modal learning in medical imaging.

A Python tool to collect, analyze and visualize trading indicators for stocks

Stock Indicators for Python. Maintained by @LeeDongGeon1996

A Library for Advanced Deep Time Series Models.

DEmoClassi stands for Demographic (age, gender, race) and Emotions (happy, sad, angry, ...) Classification from face images, using deep learning.

PyTorch-based CNN implementation for estimating age from face images

Existing Literature about Machine Unlearning

Awesome Machine Unlearning (A Survey of Machine Unlearning)

Pytorch implementation of "Joint Acne Image Grading and Counting via Label Distribution Learning"

A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…

Semi-supervised learning with Grad-CAM consistency regularization

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly …

Financial Data Extraction from Investing.com with Python

Python package to generate stock portfolios

2D and 3D UNet implementation in PyTorch.

U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Deep Learning Papers on Medical Image Analysis

High performance data loading, preprocessing, or preparation for deep learning.