kishorkukreja

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

MSc_dissertation_2022

Volatility Models for Safety Stock; A Simulation Based Study

rl_for_budget_constrained_recs

Sell_Out_Sell_In_Forecasting

Sell Out Sell In Forecasting project implemented at Nestlé

Supply-Chain-Optimization

The United States Agency for International Development (USAID, usaid.gov) is an independent agency from the U.S. federal government that is a leader in supporting the developing countries around the world in terms of education, economy, health, agriculture and many other fields. One of the Agency’s biggest projects is supply of medicine commodities to more than 60 countries around the globe. For the past couple of years USAID have been under the attention of the public due to the constant delay of deliveries in their supply chain. In 2016 only, the organization signed a contract with a supplier for $9.5 billion but faced a lot of criticism since the agency published that 30-50% of medicine deliveries arrived later than planned. Delayed deliveries can increase the supply chain costs for USAID as that will increase their storage needs for storing excess inventory, but more importantly, can disrupt a patient’s treatment, or potentially cause a loss of life. The solution for this problem can be a machine learning model - a combination of a classifier and a regressor, that will predict if a specific delivery in the supply chain of USAID is going to be delayed, and after that forecast the delay time of a potential delayed delivery. This can assist USAID’s representatives around the world in planning accordingly for a particular delivery arrival and make the necessary changes in order to prevent the possible side-effects.

SupplyChainReinforcement

Supply Chain Reinforcement Learning

SupplyChainReinforcement-SCM-RL

SupplyChainv0_gym

Reinforcement Learning for Optimal inventory policy

value-at-risk

A notebook exploring the value at risk metric for portfolio analysis.

kishorkukreja/actor_critic

This is the code for "Actor Critic Algorithms" by Siraj Raval on Youtube

kishorkukreja/adhoc

kishorkukreja/AI-Saturdays-Week-0

kishorkukreja/app_tracking_system

An application tracking system for tracking the candidates as per their skillset/'s using vuejs + python(flask)

kishorkukreja/apple_appstore

kishorkukreja/Building-a-Conversational-Chatbot-for-Slack-using-Rasa-and-Python

A guide to creating a chatbot with Rasa stack and Python and deploying it on Slack

kishorkukreja/clustering

kishorkukreja/concrete_NLP_tutorial

An NLP workshop about concrete solutions to real problems

kishorkukreja/deep_portfolio

kishorkukreja/deeplearningwithTF

kishorkukreja/Finding-balance-between-Corrective-and-Preventative-Maintenance-using-Predictive-Maintenance

Use supervised machine learning techniques to minimize the risk of unscheduled equipment downtime in the sector of manufacturing and help allocate limited maintenance resources in a cost-effective way to ensure smooth supply chain processes.

kishorkukreja/keras

Deep Learning for humans

kishorkukreja/khwahish2

kishorkukreja/lime

Lime: Explaining the predictions of any machine learning classifier

kishorkukreja/ML

kishorkukreja/moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

kishorkukreja/noSQL-kafka

kishorkukreja/pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

kishorkukreja/PythonProjects

A Portfolio of Python Projects

kishorkukreja/QAP-Genetic-Algorithm

Resolving quadratic assignment problem with genetic algorithm

kishorkukreja/Question-Answering

TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.

kishorkukreja/recurrent-neural-networks

Learning about and doing projects with recurrent neural networks

kishorkukreja/reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

kishorkukreja/seaborne

kishorkukreja/SirajsCodingChallenges

Code for Siraj Raval's Coding Challenges!

kishorkukreja/stock-Trader

kishorkukreja/TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

kishorkukreja/TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

kishorkukreja/transformer-xl

kishorkukreja/tutorials

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