ameyas1's repositories

multivariate_stock

Future Prediction of Stock Values using Multivariate Analysis, CNN, Bi-Directional Lstm, and using Tensorboard for Analysis.

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Medical-Diagnosis

This repository contains programming exercise of the Medical Diagnosis Coursera course of DeepLearning.ai

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Advance_Deployment_Models

Conversion of tensorflow model to tflite, tf.js and model prediction using server.

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Blackpink_Face_Recognition

VggFace architecture is used to recognise faces of Blackpink members.

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GenrePrediction

Predicting genre of movies by their plot using HuggingFace Distilbert.

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Gluoncv-Notebooks

This repository contains notebooks from coursera aws course with gluoncv and my personal projects.

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Neural_structured_learning

Image classification enhancement using NSL.

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RecommendationSystem

Recommendation System using movieLens 1M dataset

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Audio_Classification

My implementation of audio classification on tensorflow.

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Deep-Learning-HSE-Coursera

This repository contains notebooks from Deep Learning Course Coursera HSE

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Entity_Recognition_POS_Tagging

Bidirectional LSTM used for Entity Recognition and POS tagging

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examples

TensorFlow examples

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face_age_race_gender

Prediction of Age, Race, Gender from Faces. Dataset used from UTKFace.

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FakeNewClassification

Fake news classification using Trax Framwork on dataset from kaggle compition fake-news.

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Image_Resolution

increasing the resolution of image using encoder-decoder architecture

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LSTM_Autoencoder_Anomaly_Detection

LSTM auto-encoder is used to detect anomaly on S&P 500 index data.

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Medical-Prognosis

This repository contains programming exercise of the Medical Prognosis Coursera course of DeepLearning.ai

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Mnist_neon

Classification of numbers using Neon Nervana

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MonkAi_Notebooks

My experiments with MonkAi

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Neural_Machine_Translation

Encoder-Decoder Architecture used for Neural Machine Translation.

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NLP-for-Sequence-Model

This repository contains notebooks from NLP specialization with some modifications.

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Pytorch-Notebooks

Pytorch Experimental Notebooks

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Sentiment_Analysis

1.6 Million tweets from various users are used to analyse sentiments whether it is positive or negative

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Stock_prediction

Stock prediction using Convolution and Recurrent layers

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Style_Transfer

Generation of a new image that has style of a image and content of a different image

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TPU_Prediction

classification acceleration using tpu

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Transfer_Learning

fine tuning inception model to classify cats and dogs

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