jasongong11
Jason Gong is a PhD student at Department of Communication at UC Davis. Jason Gong is also a member of Cognitive Communication Science Lab.
UC DavisDavis, CA
jasongong11's Stars
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
alshedivat/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
google-deepmind/lab
A customisable 3D platform for agent-based AI research
PaddlePaddle/ERNIE
Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.
axa-group/Parsr
Transforms PDF, Documents and Images into Enriched Structured Data
google-deepmind/open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
opendilab/DI-engine
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
lindawangg/COVID-Net
COVID-Net Open Source Initiative
ntasfi/PyGame-Learning-Environment
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
MatthewJA/Inverse-Reinforcement-Learning
Implementations of selected inverse reinforcement learning algorithms.
google-deepmind/dqn
Lua/Torch implementation of DQN (Nature, 2015)
BaptisteBlouin/EventExtractionPapers
A list of NLP resources focused on event extraction task
yrlu/irl-imitation
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
criteo-research/reco-gym
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
hddm-devs/hddm
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
CCS-Lab/hBayesDM
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
qzed/irl-maxent
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
jiachenli94/Awesome-Decision-Making-Reinforcement-Learning
A selection of state-of-the-art research materials on decision making and motion planning.
THU-KEG/MAVEN-dataset
Source code and dataset for EMNLP 2020 paper "MAVEN: A Massive General Domain Event Detection Dataset".
petroniocandido/COVID19_AgentBasedSimulation
COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions
hddm-devs/kabuki
Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.
YazanHalawa/Explore-iOS-15-Screentime-API
dwzhou/SentimentAnalysis
Implementations of various sentiment analysis methods in Python.
kirubarajan/narrative_chains
An implementation of (Chambers and Jurafsky, 2008), using updated machine learning models, and different training data domains for an independent study at the University of Pennsylvania.
ChenShizhe/StatDataScience
cogcommscience-lab/movie_selection
A project organized around understanding decision making and movie selection.
michimalek/spotipy-random
A python package that extends the spotipy API client with randomized search.
anant1203/movie-rating-prediction
Predicted the imbd rating of the movie using machine learning algorithm and Neural Network
jasongong11/jasongong11.github.io
This is a personal website.