Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
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Updated
Mar 24, 2023 - Python
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.
Comparing Long Term Short Memory (LSTM) & Gated Re-current Unit (GRU) during forecasting of oil price .Exploring multivariate relationships between West Texas Intermediate and S&P 500, Dow Jones Utility Avg, US Dollar Index Futures , US 10 Yr Treasury Bonds , Gold Futures.
Stock Price prediction for Yahoo Inc. using GRU (Gated Recurrant Units) in Keras. Predicting closing price for Yahoo stocks
THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.
Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.
Image classification using CNN
Construct a speech dataset and implement an algorithm for trigger word detection (sometimes also called keyword detection, or wakeword detection).
🛡️ A GRU deep learning system against attacks in Software Defined Networks (SDN).
Pytorch implementation of a GRU-based RNN for Sentiment Analysis in Mental Disorder Online Communitites.
Chatbot using Seq2Seq model and Attention
This repository contains all the work done by me for Coursera's Deep Learning Specialization.
This repository contains code and data for probabilistic forecasting of electricity loads.
Rnn (vanial, GRU and LSTM) from scratch
Bachelor's thesis carried at Universitat Politecnica de Catalunya in partial fullfilment of the requirements for the degree in Telecommunications Technologies and Services Engineering
This repository contains Jupyter Notebook Files of some state of the art projects that I completed during my internship program in deeplearning.ai. The project files are divided into 5 main categories or respective courses that the deeplearning.ai provides.
Recurrent Neural Network for generative MIDI music
Master MVA - Parsimonious Representations Project
Sentiment analysis of Covid-19 tweets using XGBoost, LSTM and BERT
bike sharing prediction using recurrent neural network (RNN)-gated recurrent unit (GRU) implemented in python using the pytorch framework
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