Ashok Matta's repositories
aws-microservices
AWS Serverless Event-driven Microservices with using AWS Lambda, AWS DynamoDB, AWS API Gateway, AWS EventBridge, AWS SQS, AWS CDK stands for Cloud Development Kit for IaC — Infrastructure as Code tool and AWS CloudWatch for monitoring.
DeepBeerInventory-RL
The code for the SRDQN algorithm to train an agent for the beer game problem
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
dm_control
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Fastformer
A pytorch &keras implementation and demo of Fastformer.
google-research
Google Research
hctsaPhenotypingWorm
Machine learning classification using scikit-learn and features from hctsa analysis on movement speed data of five strains of the nematode worm Caenorhabditis elegans
imbalanced-ensemble
Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库
Learn2Clean
Learn2Clean: Optimizing the Sequence of Tasks for Data Preparation and Cleaning
machine-learning-imbalanced-data
Code repository for the online course Machine Learning with Imbalanced Data
nzpy
Python DB API 2.0 driver for Netezza
packet_cafe
A platform built for easy-to-use automated network traffic analysis
Portfolio
Marketing analytics with Python, churn prediction, AB testing, RFMT segmentation, cohort analysis, customer lifetime value
PyDeequExemploUtilizacao
Exemplo de utilização do PyDeequ para teste unitário em Dados
reinforcement_learning_financial_trading
MATLAB example on how to use Reinforcement Learning for developing a financial trading model
s3-to-rds-postgresql
Copies data from a S3 Bucket into a RDS PostgreSQL table
SenseEarth2020-ChangeDetection
1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime
speech_shift
Demonstrating covariate shift detection using VOiCES
Time-Series-Forecasting-Apple-Stock-Price-Using-SARIMA-Prophet
Time Series forecasting using Seasonal ARIMA & Prophet. Applied statistical tests like Augmented Dickey–Fuller test to check stationary of series. Checked ACF ,PACF plots to identify Moving average and Auto-regressive order of series. Transformed series to make it stationary.
wav2letter
Facebook AI Research's Automatic Speech Recognition Toolkit