Pinned Repositories
applied-ml
đź“š 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/SupplyChainReinforcement-SCM-RL
kishorkukreja/value-at-risk
A notebook exploring the value at risk metric for portfolio analysis.
kishorkukreja/-Practical-Deep-Learning-on-the-Cloud
Practical Deep Learning on the Cloud, published by Packt
kishorkukreja/Accelerate-Deep-Learning-Workloads-with-Amazon-SageMaker
Accelerate Deep Learning Workloads with Amazon SageMaker
kishorkukreja/Applied-Deep-Learning-and-Computer-Vision-for-Self-Driving-Cars
Applied Deep Learning and Computer Vision for Self-Driving Cars, published by Packt
kishorkukreja/Deep-Learning-Applied-Projects-with-Python
Deep Learning Applied Projects with Python [Video], Published by Packt
kishorkukreja/Deep-Learning-using-Keras---A-Complete-and-Compact-Guide-for-Beginners
kishorkukreja/Deep-Learning-with-fastai-Cookbook
Deep Learning with fastai Cookbook, published by Packt
kishorkukreja/Deep-Learning-with-MXNet-Cookbook
Deep Learning with MXNet Cookbook, published by Packt
kishorkukreja/Deep-Learning-with-PyTorch-Lightning
Getting Started with PyTorch Lightning, Published by Packt
kishorkukreja/Deep-Learning-with-TensorFlow-2-and-Keras
Deep Learning with TensorFlow 2 and Keras, published by Packt
kishorkukreja/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
kishorkukreja/Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
kishorkukreja/Hands-On-Python-Deep-Learning-for-Web
Hands-On Python Deep Learning for Web by Anubhav Singh and Sayak Paul
kishorkukreja/machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
kishorkukreja/Mastering-Reinforcement-Learning-with-Python
Mastering Reinforcement Learning with Python, published by Packt
kishorkukreja/Mobile-Deep-Learning-Projects
Mobile Deep Learning Projects, published by Packt
kishorkukreja/multi-objective-hyperparameter-optimization
Easy, fast, _and_ cheap!
kishorkukreja/or-gym
Environments for OR and RL Research
kishorkukreja/Practical-Deep-Learning-at-Scale-with-MLFlow
Practical Deep Learning at Scale with MLFlow, published by Packt
kishorkukreja/Practical-Deep-Learning-with-Weights-and-Biases
Practical Deep Learning with Weights and Biases, Published by Packt
kishorkukreja/Python-Deep-Learning-Projects
Python Deep Learning Projects, published by Packt
kishorkukreja/Python-Reinforcement-Learning-Projects
Python Reinforcement Learning Projects, published by Packt
kishorkukreja/PyTorch-1.x-Reinforcement-Learning-Cookbook
PyTorch 1.x Reinforcement Learning Cookbook, published by Packt
kishorkukreja/regression-model-tools
Python scripts for regression models, using the Scikit-Learn framework: Diagnostic plots, confidence intervals & approximate Shapley values
kishorkukreja/RLIO
Reinforcement learning for Inventory Optimization
kishorkukreja/SCM-RL
Application of Deep Reinforcement Learning to Supply Chain management. Reference: https://blog.griddynamics.com/deep-reinforcement-learning-for-supply-chain-and-price-optimization/#fn9
kishorkukreja/tensor-house
A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain
kishorkukreja/Tensorflow-2-Reinforcement-Learning-Cookbook
Tensorflow 2 Reinforcement Learning Cookbook, published by Packt
kishorkukreja/TensorFlow-Deep-Learning-Projects
TensorFlow Deep Learning Projects, published by Packt