Training an InceptionV3-based image classifier with your own dataset
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Updated
Nov 9, 2016 - Python
Training an InceptionV3-based image classifier with your own dataset
TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.
ImageNet pre-trained models with batch normalization for the Caffe framework
A Tensorflow implementation of YOLOv3.
grocery store image classification with Keras
This repository contains the source code for the first and the second task of DeftEval 2020 competition, used by the University Politehnica of Bucharest (UPB) team to train and evaluate the models.
This application aims to classify real life photos of a cube game using deep learning algorithms based on a fine-tuned ResNet50. The script is deployed and accessible through a REST-ful web service.
🚂 Fine-tune OpenAI models for text classification, question answering, and more
[Bachelor Graduation Project] Use Xception model for face anti-spoofing
Use FastSpeech2 and HiFi-GAN to easily perform end-to-end Korean speech synthesis.
Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios
Municipal code fine-tuned chatbot.
Speak the best with your models!
🌹[ICML 2024] Selecting Large Language Model to Fine-tune via Rectified Scaling Law
fine tuning, reimagined. welcome to tuna 🎣 - we're simplifying cloud compute architecture, datasets, and more, to get your specialized AI from 0 to 1 asap
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