Time-series-Analysis-using-LSTM-RNN-and-GRU
Time series Analysis using LSTM,RNN and GRU with pytorchBagofWords-Computer-Vision-
1-Bag of SIFT representation and nearest neighbor classifierPython-Data-Structure
Python Data StructureNested-Dictionaries-to-DataFrame
Converting Columns with nested dictionaries to Data frame Separate columns90_Animal_detection-using-ViT
The "Animal Detection Using VIT Transformers with 97% Testing Accuracy" project is a focused and achievable initiative aimed at building an accurate animal detection system. Leveraging Vision Transformer (VIT) models, this project is dedicated to the specific goal of achieving a high testing accuracy of 97% in identifying.HarrisCornerDetection-Computer-Vision-
Harris Corner Detection with complete implementation.Exploratory-Data-Analysis
Exploratory Data Analysis on Complex Data with Different plots VisualizationPython-Data-Science-work
Python Data ScienceSentiment-Analysis-on-Amazon-reviews
Sentiment Analysis on Amazon reviews DatasetFaceVerification-using-CNN-Custom-model
Implementing a model that can verify if two images belongs to same personality or not. Answer the question "Is this the claimed person?" It is a 1:1 matching problem i.e. given a face your task is to compare the candidate face to another and verify whether it is a match or not. My custom CNN model has achieved marvelous performance on the dataset.MultiTaskLearning-Multi-label-Classification-using-CNN-
Training a new classification network which should tell the identity label of an image and also be able to classify: β Gender as Male/Female β Wearing Glasses/ Not Wearing Glasses β Smiling/ Not Smiling β Wearing hat/ not wearing hat β young/old. As we need 5 outputs from a single input. The custom CNN model consists of NN architecture with 5 heads return my the model. My model performance in Multilabel classification task is totally remarkable.Download-Books-in-python
One can download any book using this code of pythonLove Open Source and this site? Check out how you can help us