Official repository of "Transferring disentangled representations: bridging the gap between synthetic and real images" [NeurIPS 2024]
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Updated
Oct 26, 2024 - Python
Official repository of "Transferring disentangled representations: bridging the gap between synthetic and real images" [NeurIPS 2024]
baby cry analysis to identify the reason behind baby's cry
Mobile Net V2 was trained using custom and Kaggle datasets of 9.5k human face pictures with properly, poorly, and incorrectly worn masks. The model scores 95–96 percent validation after haarcascade_frontalface_alt2.xml detects the frontal face area in real time.
Deep Learning Specialization course offered by DeepLearning.AI on Coursera
A flask server for deploying pytorch malayalam character recognition model
Some Deep Learning Practice Codes of Basic Topics.
A performance comparison of sentiment analysis between pre-trained NLP models and visualization them in TensorBoard . Fine tuning some model to for more accurate prediction.
Transfer Learning using Mobilenet model on a Flower Dataset
Image Classification with PyTorch
Colonoscopy polyps detection with CNNs
Transfer Learning Deep Neural Network inside a Web Application for quickly detecting if a construction worker is wearing safety gear.
Transfer Learning with VGG-19.
Adversarial Multitask Neural Network
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