jaysulk
Autonomy and Cognitive Systems SME with a strong background in Physics and Atmospheric Science. Research focus on Physics Informed Neural Networks.
Georgia Tech Research InstituteAtlanta, GA
jaysulk's Stars
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
tweepy/tweepy
Twitter for Python!
Blizzard/s2client-proto
StarCraft II Client - protocol definitions used to communicate with StarCraft II.
google-deepmind/acme
A library of reinforcement learning components and agents
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
aimacode/aima-java
Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
IronLanguages/ironpython2
Implementation of the Python programming language for .NET Framework; built on top of the Dynamic Language Runtime (DLR).
echen102/COVID-19-TweetIDs
The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020.
google-deepmind/hanabi-learning-environment
hanabi_learning_environment is a research platform for Hanabi experiments.
vtraag/leidenalg
Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
devsisters/pointer-network-tensorflow
TensorFlow implementation of "Pointer Networks"
osome-iu/botometer-python
A Python API for Botometer by OSoMe
pemami4911/POMDPy
POMDPs in Python.
h2r/pomdp-py
A framework to build and solve POMDP problems. Documentation: https://h2r.github.io/pomdp-py/
digitalepidemiologylab/covid-twitter-bert
Pretrained BERT model for analysing COVID-19 Twitter data
williamleif/social-lstm
Socially-primed LSTM model to predict intercommunity conflict on Reddit.
keon/pointer-networks
Pointer Networks Implementation in Keras
jojonki/Pointer-Networks
Pointer Networks is a new neural architecture to learn the conditional probability of an output sequence with elements that are discrete tokens corresponding to positions in an input sequence.
d3sm0/gym_pomdp
Gym-like extensions for POMDP
jingxil/Pointer-Networks
An implementation of "Pointer Networks" in Tensorflow
aurelienbibaut/Actor_CriticPointer_Network-TSP
Tensorflow implementation of an Actor Critic algorithm using a Pointer Network to solve the TSP (algorithm from Neural Combinatorial Optimization with Reinforcement Learning, Bello et al, 2016)
jrmazarura/GPM
elsheikh21/population-based-training-of-NNs
Applying PBT optimization technique to different domains
hilios/wumpus
Artificial intelligence agent for the Wumpus game
erikphillips/wumpus_world
A driver for the wumpus world which allows for students to create their own Wumpus World agent to navigate the cave.
odlevakp/enviro-pi
Web-based weather station for Raspberry Pi and SenseHat
velochy/rl-bargaining
Deep Reinforcement Learning experiments for a simple game of two-player bargaining with each player only knowing their own value
INF554MachineLearning/GameAI
Advanced topics in AI
sanjayr93/wumpus-ai-agents