Qualify-As-You-Go Sensor Fusion, Process Zone Signatures and Deep Contrastive Learning for Multi-Material Composition Monitoring in LPBF Process
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Updated
May 21, 2024 - Python
Qualify-As-You-Go Sensor Fusion, Process Zone Signatures and Deep Contrastive Learning for Multi-Material Composition Monitoring in LPBF Process
Text Embedding for Retrieval, Rerank and RAG
Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.
his repository contains an implementation for eliminating backdoor triggers embedded in images, particularly addressing poison label attacks such as Trojan, BadNets, and Blend.
Contrastive representation learning with PyTorch
PyTorch implementation of unsupervised causal CNN encoder with triplet loss for time series representation learning.
Learning semantic embeddings from OSM data: A Pytorch implementation of the loc2vec general method outlined in: https://sentiance.com/loc2vec-learning-location-embeddings-w-triplet-loss-networks.
🎯 Task-oriented embedding tuning for BERT, CLIP, etc.
Resolving semantic confusions for improved zero-shot detection (BMVC 2022)
Implementation of the following papers: Rádli, Richárd, Zsolt Vörösházi, and László Czúni. "Multi-Stream Pill Recognition with Attention." "Pill Metrics Learning with Multihead Attention" and "Word and Image Embeddings in Pill Recognition"
The project implements Siamese Network with Triplet Loss in Keras to learn meaningful image representations in a lower-dimensional space. By training on the MNIST dataset, it creates a powerful architecture and implements Triplet Loss function. The resulting model enables applications like image search, recommendation systems, and image clustering.
AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework For Asthma Classification Using Lung Sounds
Neural network for creating distortion while keeping embeddings as close as possible
Recognition with YOLO, Triplet loss
topological deep learning
A Image Retrieval System
Sistema di riconoscimento facciale per dispositivi Android.
PyTorch model that uses triplet loss to find the image with most similar skin condition
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