AmalVijayan
Senior Software Engineer | AI Solutions, OpenAI Products
Vonnue Innovations Pvt. Ltd.Kerala,India
Pinned Repositories
BERT-For-Multi-Class-Classification
Time-Series-Forecasting---Predicting-Bitcoin-Prices
Time Series Forecasting: Predicting Bitcoin Price The cryptocurrency market has seen its rise and fall in the past few years. With a variety of coins being exchanged for real money, it is important to know the trend in the coin price. In this article, we will build a fairly simple LSTM network to predict or forecast the prices of Bitcoin. Obtaining Bitcoin Data There are plenty of open sources available on the internet to extract historical data of Bitcoin prices. The one that I have used below is from https://coinmarketcap.com/.
Image-Classififcation-Hackathon
Solution for Intel Scene Classification with an attained accuracy of 73% on the test set.
Image-Classification-MNIST
The code is given in a Jupyter Note (.ipnb) file with all definitions and description.
bobseye
Classifying-Movie-Scripts
DataScience
Data Science Learning and Practice
SpeechClassifier
Text Classification is one of the most common problems in NLP. In the past few years, there have been numerous successful attempts which gave rise to many state-of-the-art language models that is capable of performing the classification task with mind boggling accuracy and precision. Text classification powers many real world applications from simple spam filtering to voice assistants like Alexa. These applications have the capability to classify the user’s input to understand the context of spoken words. In this article, we will build on the basic idea of giving the machine the power to listen to human speech and classify what the person is talking about. In one of our previous tutorials we talked about a library called Simple Transformers that makes it effortless to implement many transformer based state-of-the-art language models. We used the library to classify any number of input texts into one of the following four news sections Politics Technology Entertainment Business We will use the same classifier to classify what you speak into one of those four categories effortlessly with very minor changes in code.
AmazonReviewScraper
This python code can be used to scrap reviews of a specific product from Amazon,
AmalVijayan's Repositories
AmalVijayan/bobseye
AmalVijayan/SpeechClassifier
Text Classification is one of the most common problems in NLP. In the past few years, there have been numerous successful attempts which gave rise to many state-of-the-art language models that is capable of performing the classification task with mind boggling accuracy and precision. Text classification powers many real world applications from simple spam filtering to voice assistants like Alexa. These applications have the capability to classify the user’s input to understand the context of spoken words. In this article, we will build on the basic idea of giving the machine the power to listen to human speech and classify what the person is talking about. In one of our previous tutorials we talked about a library called Simple Transformers that makes it effortless to implement many transformer based state-of-the-art language models. We used the library to classify any number of input texts into one of the following four news sections Politics Technology Entertainment Business We will use the same classifier to classify what you speak into one of those four categories effortlessly with very minor changes in code.
AmalVijayan/go-cli-tool
How to build a cli tool with Golang
AmalVijayan/aws-mfa-profile
Creates adds a temporary MFA profile with session token to aws configuration
AmalVijayan/Scheduler
AmalVijayan/AudioMetaServer
AmalVijayan/avn_pro_portfolio
A professional looking and highly responsive Portfolio App using ReactJs
AmalVijayan/React-YouTube
A functional clone of YouTube using ReactJS
AmalVijayan/React-Spotify
Spotify clone using React.js :: https://youtu.be/pnkuI8KXW_8?list=LLJjKMgZdkL01X8Z6h-fWPPQ
AmalVijayan/github-actions-continuous-delivery
AmalVijayan/Classifying-Movie-Scripts
AmalVijayan/DeployingMLModel
Deploying a FastAi regression Model using Flask API
AmalVijayan/SimpleTransformers
In the past few years, we have seen tremendous improvements in the ability of machines to deal with Natural Language. We saw algorithms breaking the state-of-the-art one after the other on a variety of language-specific tasks, all thanks to transformers. In this article we will discuss and implement transformers in the simplest way possible using a library called Simple Transformers.
AmalVijayan/BERT-For-Multi-Class-Classification
AmalVijayan/Regression-With-FastAi
AmalVijayan/Predict-The-Price-Of-Books-By-MachineHack
Solution to Predict The Price Of Books Hackathon By MachineHack
AmalVijayan/Time-Series-Forecasting---Predicting-Bitcoin-Prices
Time Series Forecasting: Predicting Bitcoin Price The cryptocurrency market has seen its rise and fall in the past few years. With a variety of coins being exchanged for real money, it is important to know the trend in the coin price. In this article, we will build a fairly simple LSTM network to predict or forecast the prices of Bitcoin. Obtaining Bitcoin Data There are plenty of open sources available on the internet to extract historical data of Bitcoin prices. The one that I have used below is from https://coinmarketcap.com/.
AmalVijayan/BayesianOptimization-On-XGBoost
Using Bayesian Optimization to tune Hyper-parameters of XGBClassifier on MachineHack's Whose Line Is It Anyway: Identify The Author Hackathon
AmalVijayan/Matplotlib_Examples
AmalVijayan/GAN_With_Keras
Introduction To GAN
AmalVijayan/ObjectDetection_Inference
Object Detection Inference using pre-trained model -ssd_mobilenet_v1_coco_2017_11_17 with Tensorflow
AmalVijayan/NLP-Hackathon_Solution
Solution for Predict The News Category Hackathon by MachineHack
AmalVijayan/Introduction_To_Geographical_Plotting
Geographical Plotting with Plotly
AmalVijayan/Multilabel_Image_Classification
A simple Multi-Label Classification to classify Cats and Dogs into respective breeds.
AmalVijayan/Quick_Tips
Data exploration useful methods
AmalVijayan/Image-Classififcation-Hackathon
Solution for Intel Scene Classification with an attained accuracy of 73% on the test set.
AmalVijayan/Scrapy
All Scrapy Codes
AmalVijayan/DataScience
Data Science Learning and Practice
AmalVijayan/Clustering
Clustering in Python and R
AmalVijayan/Image-Classification-MNIST
The code is given in a Jupyter Note (.ipnb) file with all definitions and description.