Pinned Repositories
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's Repositories
kishorkukreja/SupplyChainv0_gym
Reinforcement Learning for Optimal inventory policy
kishorkukreja/SupplyChainReinforcement
Supply Chain Reinforcement Learning
kishorkukreja/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
kishorkukreja/MSc_dissertation_2022
Volatility Models for Safety Stock; A Simulation Based Study
kishorkukreja/rl_for_budget_constrained_recs
kishorkukreja/Sell_Out_Sell_In_Forecasting
Sell Out Sell In Forecasting project implemented at Nestlé
kishorkukreja/assets
kishorkukreja/Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
kishorkukreja/awesome-ppiate
awesome-moviate
kishorkukreja/betterpython
Code examples for my Write Better Python Code series on YouTube.
kishorkukreja/Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
kishorkukreja/Copulas
A library to model multivariate data using copulas.
kishorkukreja/cvrptw-optimization
Capacitated vehicle routing with time windows (CVRPTW) optimization
kishorkukreja/eletricity-demand-causality-based-forecasting
kishorkukreja/footernotionwidget
kishorkukreja/gpt-crawler
Crawl a site to generate knowledge files to create your own custom GPT from a URL
kishorkukreja/gpt-researcher
GPT based autonomous agent that does online comprehensive research on any given topic
kishorkukreja/hm-two-step-reco
An implementation of a full two-step recommendation pipeline applied on the Kaggle H&M data
kishorkukreja/kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
kishorkukreja/Langchain-Production-Project
kishorkukreja/large_laguage_models
kishorkukreja/medium_posts
kishorkukreja/namenotionwidget
kishorkukreja/notionwidget
kishorkukreja/quickvid
Your AI-Powered YouTube Video Summarization Tool
kishorkukreja/SDV
Synthetic Data Generation for tabular, relational and time series data.
kishorkukreja/SMAC3
Sequential Model-based Algorithm Configuration
kishorkukreja/spacetimeformer
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
kishorkukreja/Tech-Challenge
kishorkukreja/yt-chat
Summarize and chat with a bot about a youtube video