ameyas1's repositories
multivariate_stock
Future Prediction of Stock Values using Multivariate Analysis, CNN, Bi-Directional Lstm, and using Tensorboard for Analysis.
Medical-Diagnosis
This repository contains programming exercise of the Medical Diagnosis Coursera course of DeepLearning.ai
Advance_Deployment_Models
Conversion of tensorflow model to tflite, tf.js and model prediction using server.
Blackpink_Face_Recognition
VggFace architecture is used to recognise faces of Blackpink members.
GenrePrediction
Predicting genre of movies by their plot using HuggingFace Distilbert.
Gluoncv-Notebooks
This repository contains notebooks from coursera aws course with gluoncv and my personal projects.
Neural_structured_learning
Image classification enhancement using NSL.
RecommendationSystem
Recommendation System using movieLens 1M dataset
Audio_Classification
My implementation of audio classification on tensorflow.
Deep-Learning-HSE-Coursera
This repository contains notebooks from Deep Learning Course Coursera HSE
Entity_Recognition_POS_Tagging
Bidirectional LSTM used for Entity Recognition and POS tagging
examples
TensorFlow examples
face_age_race_gender
Prediction of Age, Race, Gender from Faces. Dataset used from UTKFace.
FakeNewClassification
Fake news classification using Trax Framwork on dataset from kaggle compition fake-news.
Image_Resolution
increasing the resolution of image using encoder-decoder architecture
LSTM_Autoencoder_Anomaly_Detection
LSTM auto-encoder is used to detect anomaly on S&P 500 index data.
Medical-Prognosis
This repository contains programming exercise of the Medical Prognosis Coursera course of DeepLearning.ai
Mnist_neon
Classification of numbers using Neon Nervana
MonkAi_Notebooks
My experiments with MonkAi
Neural_Machine_Translation
Encoder-Decoder Architecture used for Neural Machine Translation.
NLP-for-Sequence-Model
This repository contains notebooks from NLP specialization with some modifications.
Pytorch-Notebooks
Pytorch Experimental Notebooks
Sentiment_Analysis
1.6 Million tweets from various users are used to analyse sentiments whether it is positive or negative
Stock_prediction
Stock prediction using Convolution and Recurrent layers
Style_Transfer
Generation of a new image that has style of a image and content of a different image
TPU_Prediction
classification acceleration using tpu
Transfer_Learning
fine tuning inception model to classify cats and dogs