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Extract_key_information_Document_understanding
ApplicationsBuildWithLLMs
layout_parser_implementation
Named-Entity-Recognition
table_extract
Multi-Modal-Classifier
The main challenges comprise of classifying the products into right categories and matching the exact same products across different retailers for price comparison. This problem comes under the category of multi-label classification and product retrieval. Sometimes product's textual data (product title & description) is helpful for this task, and sometimes product's images help. Hence, to classify the products into the right category build a Deep Learning multi-modal which incorporates images as well as text for the classification of the Product.YOLO-V5-TRAINING
Custom-Next-Sentence-Prediction
Custom_Text_Summarizer
AutoEncoders-Feature-Extractor
text_embeddings
Yolov7
Anomaly-Detection
Explainable-Ai
question_answering_task
generative-AI-youtube
sentence_similarity
optuna
NER-Relation
This Binary Converter will work for data annotated with Label studio for relation extractioncustom_model_detectron2
HyperOpt
model_analysis_evidently
SMAC
SMAC stands for Sequential Model Based Algorithm Configuration. SMAC helps to define the proper hyper-parameters in an efficient way by using Bayesian Optimization at the backend.MACHINE-LEARNING-PROJECTS
MACHINE LEARNING PROJECTSNLPAug
flaml
multivariate-adaptive-regression-splines
voting-ensemble
Topicmodelling
Stacking-Generalization
Simple-Transformer-BERT
self-supervised-learning
hypertune-using-scikit-optimize
Mlflow-Tutorial
Basics-of-Statistics
Analytics-Vidhya
Deep-Learning
YOLOv4
OpenCV-
Jupyter Notebooks Regarding OpenCV.Train-Custom-Tokenizer
kedro-iris
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