OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Codes to complement YouTube videos and blog posts on Medium.

OPC-UA GUI Client

OPC UA library for python >= 3.7

Fast Deep Evolutionary Network Structured Representation

Implementation of SGE Algorithm in Python 3

PonyGE2: grammatical evolution and variants in Python

Python Evolutionary Algorithms. Contains implementations of NEAT and HyperNEAT.

Distributed Evolutionary Algorithms in Python

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Supplementary code for transfer-learning approach to UNet with EfficientNet based encoder - medium blogpost

Segment Anything in Medical Images

This repository contains demos I made with the Transformers library by HuggingFace.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

Use ResNet50 deep learning model to predict defects in steel and visually localize the defect using Res-UNET model class

This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.

本项目实现了一种基于 VAE-CycleGAN 的图像重建无监督缺陷检测算法。该算法结合了变分自编码器 (VAE) 和 CycleGAN 的优势，无需标注数据即可检测图像中的缺陷/异常。This project implements an unsupervised defect detection algorithm for image reconstruction based on VAE…

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…