AI-Assisted Radiographic Analysis: A Semi-Supervised Approach for Surgical Implant Detection and Dataset Standardization

ECCV 2022 Workshop: AI-enabled Medical Image Analysis – Digital Pathology & Radiology/COVID19 : An easy-to-understand and lightweight Transfer Learning-based solutions for COVID-19 diagnosis

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

autoupdate paper list

Code & research description to be presented at the 2024 Family History Technology Conference. Research and Development on a tool to find document images where manuscript waste (a.k.a. binder's waste) was used to bind other documents. Info from reused manuscripts can relate to genealogy and/or MS studies, and is extensible to finding, e.g. repairs.

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This is a meta-model distilled from ChatGPT-3.5-turbo for information extraction. This is an intermediate checkpoint that can be well-transferred to all kinds of downstream information extraction tasks.

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

[ICLR 2024] Supervised Pre-Trained 3D Models for Medical Image Analysis

Created conversational chatbot using GooglePaLM and HuggingFace model.

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

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

Computer vision deep learning project classifying 10 classes of food images with 90% accuracy, built with TensorFlow.

Collection of awesome parameter-efficient fine-tuning resources.

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

Used normal neural networks and convolutional neural networks in many many data like animals, fashion, flowers classification, and also temperature predictions and time-series. Have fun. BTW used tensorflow for the works.

[Paper][Preprint 2024] Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks

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