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Investigation-on-Facial-Emotion-Recognition
Investigation-on-Facial-Emotion-Recognition Public(Research Work) Utilized Computer Vision(AI) models like CNN-LSTM, CNN-BiLSTM, and Transfer Learning Models like VGG16, VGG19, and ResNet50 on the FER2013 and CK+48 dataset for FER classification.
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ONDC-LOGISTICS-BAP
ONDC-LOGISTICS-BAP PublicForked from mitrya/ONDC-LOGISTICS-BAP
Logistic buyer applicartion | ONDC , application allowing customers to search logistics services.
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Video-Frame-and-Timestamp-retrieval-based-on-Text-Query
Video-Frame-and-Timestamp-retrieval-based-on-Text-Query PublicForked from NiharikaMangarai/Video-Frame-and-Timestamp-retrieval-based-on-Text-Query
We use Resnet50 and DistilBERT as our image encoder and text encoder respectively. In addition, we used a loss function based on contrastive learning to maximize the alignment of modalities inside …
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Energy-consumption-prediction-using-Time-series-techniques-Pyspark
Energy-consumption-prediction-using-Time-series-techniques-Pyspark PublicData-driven model validated with real-world smart meter data for demand and response-based energy consumption for smart buildings with Big data Analytics
Jupyter Notebook
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Heart-Disease-Prediction
Heart-Disease-Prediction PublicEvaluating Classifier Performance using PySpark for Cardiovascular Disease Prediction
Jupyter Notebook 1
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