Ankit Haldar's repositories
2048
A small clone of 1024 (https://play.google.com/store/apps/details?id=com.veewo.a1024)
ai-economist
Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
AlphaToe
Applying the deep learning techniques from Alpha Go to play tic-tac-toe
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
cat_game_rl
RL in decor building of cat game.
chess-alpha-zero
Chess reinforcement learning by AlphaGo Zero methods.
conspeech
Political Speech Generator
data-science-from-scratch
code for Data Science From Scratch book
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
dqn_zoo
DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.
FinRL
FinRL: Financial Reinforcement Learning Framework. Please star. 🔥
FinRL_Podracer
Cloud-native Financial Reinforcement Learning
Gym-Trading-Env
A simple, easy, customizable Open IA Gym environment for trading.
kaggle-birdsong-recognition
1st Place solution to the Cornell Birdcall Identification competition.
Kaggle-UWMGIT
code for kaggle: UW-Madison GI Tract Image Segmentation
kaggle_ah_all
The kaggle competition training engine template. Different competitions are created in different branches.
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Reinforcement-Learning-in-Robotics
This is a private learning repository for reinforcement learning techniques used in robotics.
RocAlphaGo
An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.
scikit-learn
scikit-learn: machine learning in Python
scratch-curriculum
Term 1 and 2 of Code Club, learning Scratch
tensor-house
A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain
udacity_deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program