NitishaS-812k

NitishaS-812k's Stars

• salimamoukou/Bayesian-reinforcement-learning

  Presentation and implementation of reinforcement learning and bayesian RL techniques

  Language:Jupyter Notebook5

• CausalAIBook/MetricsMLNotebooks

  Notebooks for Applied Causal Inference Powered by ML and AI

  Language:Jupyter Notebook3927

• kyunghyuncho/2024-causal-inference-machine-learning

  Language:Jupyter Notebook101

• 011235813/cm3

  Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning

  Language:Python5211

• gabstoyanova/Game-Of-Life-Project

  Using reinforcement learning to sustain high-density populations in Conway’s Game of Life

  Language:Jupyter Notebook2

• wilrop/moqups

  An algorithm to calculate all pure strategy Nash equilibria in multi-objective games with quasiconvex utility functions

  Language:Python6

• carlosgoe/game-theory

  A Python implementation of game theory algorithms.

  Language:Python34

• ALFA-group/bayesopt-nash-eq

  Language:Jupyter Notebook134

• ismorphism/DeepGame

  Multi-agent reinforcement learning programs based on Game theory

  Language:Python316

• cheat-sheets/game-theory-cheat-sheet

  Game Theory Cheat Sheet

  32550

• lucasanguinetti/ln-game-theory

  Matlab code for the figures and the examples used in G. Bacci, L. Sanguinetti, and M. Luise, "Understanding game theory via wireless power control,' submitted to IEEE Signal Process. Mag., Oct. 2014.

  Language:Matlab5648

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python6.9k918

• causalincentives/pycid

  Library for graphical models of decision making, based on pgmpy and networkx

  Language:Jupyter Notebook9313

• drvinceknight/Nashpy

  A python library for 2 player games.

  Language:Python32269

• tomgrek/gameoflife

  Conway's Game of Life, in PyTorch, using convolutions

  Language:Python82

• lkwilson/Conways-Game-Of-Life-AI

  Deep Reinforcement Learning Agent to control Conway's Game of Life

  Language:Jupyter Notebook10

• hmorioka/CCL

  Connectivity-contrastive learning (CCL)

  Language:Python72

• siplab-gt/generative-causal-explanations

  Code for "Generative causal explanations of black-box classifiers"

  Language:Python3212

• Sahajj16/Channel-Modeling-for-60-GHz-Fixed-mmWave-O2I-and-O2O-Uplink-with-Angular-Misalignment

  1

• GuodongQi/CMVAE

  Codes for "CMVAE: Causal Meta VAE for Unsupervised Meta-Learning"

  Language:Python62

• an-seunghwan/CDG-VAE

  Official pytorch implementation codes for ECAI-2023 accepted paper "Causally Disentangled Generative Variational AutoEncoder"

  Language:Python41

• google-research/disentanglement_lib

  disentanglement_lib is an open-source library for research on learning disentangled representations.

  Language:Python1.4k204

• awesome-tnns/awesome-tnns

  Language:TeX15513

• IuricichF/ICT

  Language:JavaScript84

• Zhenzi-Weng/DeepSC-S

  Semantic Communication Systems for Speech Transmission

  Language:Python7622

• williamleif/GraphSAGE

  Representation learning on large graphs using stochastic graph convolutions.

  Language:Python3.4k838

• tristandeleu/jax-dag-gflownet

  Code for "Bayesian Structure Learning with Generative Flow Networks"

  Language:Python7714

• Gourang97/Causal-Variational-Autoencoders

  Causal Variational AutoEncoders

  Language:Jupyter Notebook228

• Qualcomm-AI-research/weakly-supervised-causal-representation-learning

  Language:Python247

• SpotX-Official/SpotX-Bash

  SpotX Mac and Linux adblocker for the Spotify desktop client, in Bash

  Language:Shell1.7k58