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IIM Ahmedabad
- Ahmedabad, India
- https://sites.google.com/view/sriram-sankaranarayanan/
- @ssriram1992
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Causal Inference 1 Mixtape Session taught by Scott Cunningham
Code to compute mixed-equilibrium in linear EPECs
2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in Supply Chain Management, 14)
A research tool for the Iterated Prisoner's Dilemma
🙃 A delightful community-driven (with 2,400 contributors) framework for managing your zsh configuration. Includes 300 optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
The mission of Project Drawdown is to help the world reach “Drawdown”— the point in the future when levels of greenhouse gases in the atmosphere stop climbing and start to steadily decline, thereby…
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Extensible Combinatorial Optimization Learning Environments
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Tool(s) to help read Sanskrit (and other) metrical verse
Notes about modern C , C 11, C 14 and C 17, Boost Libraries, ABI, foreign function interface and reference cards.
Collaborative Collection of C Best Practices. This online resource is part of Jason Turner's collection of C Best Practices resources. See README.md for more information.
Book in preparation: introduction to theoretical computer science
Mind-aware Multi-agent Management Reinforcement Learning
one colorscheme pack to rule them all!
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Paper list of multi-agent reinforcement learning (MARL)
StyleGAN - Official TensorFlow Implementation
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A replica of the AlphaZero methodology for deep reinforcement learning in Python
A course in reinforcement learning in the wild