NitishaS-812k

NitishaS-812k's Stars

• 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:Python7.2k140482937

• williamleif/GraphSAGE

  Representation learning on large graphs using stochastic graph convolutions.

  Language:Python3.4k78166846

• SpotX-Official/SpotX-Bash

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

  Language:Shell2.6k244987

• google-research/disentanglement_lib

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

  Language:Python1.4k3427203

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

  Game Theory Cheat Sheet

  34014052

• drvinceknight/Nashpy

  A python library for 2 player games.

  Language:Python337108170

• awesome-tnns/awesome-tnns

  Language:TeX1694015

• causalincentives/pycid

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

  Language:Jupyter Notebook10175915

• CausalAIBook/MetricsMLNotebooks

  Notebooks for Applied Causal Inference Powered by ML and AI

  Language:Jupyter Notebook916940

• Zhenzi-Weng/DeepSC-S

  Semantic Communication Systems for Speech Transmission

  Language:Python8821026

• tristandeleu/jax-dag-gflownet

  Code for "Bayesian Structure Learning with Generative Flow Networks"

  Language:Python815217

• 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:Matlab596048

• 011235813/cm3

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

  Language:Python553211

• ismorphism/DeepGame

  Multi-agent reinforcement learning programs based on Game theory

  Language:Python35326

• siplab-gt/generative-causal-explanations

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

  Language:Python335112

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

  Language:Python28428

• Gourang97/Causal-Variational-Autoencoders

  Causal Variational AutoEncoders

  Language:Jupyter Notebook26409

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

  Language:Jupyter Notebook16101

• ALFA-group/bayesopt-nash-eq

  Language:Jupyter Notebook13604

• lkwilson/Conways-Game-Of-Life-AI

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

  Language:Jupyter Notebook11200

• hmorioka/CCL

  Connectivity-contrastive learning (CCL)

  Language:Python9102

• IuricichF/ICT

  Language:JavaScript8214

• tomgrek/gameoflife

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

  Language:Python8212

• GuodongQi/CMVAE

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

  Language:Python6122

• wilrop/moqups

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

  Language:Python6200

• salimamoukou/Bayesian-reinforcement-learning

  Presentation and implementation of reinforcement learning and bayesian RL techniques

  Language:Jupyter Notebook5100

• an-seunghwan/CDG-VAE

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

  Language:Python4201

• carlosgoe/game-theory

  A Python implementation of game theory algorithms.

  Language:Python4204

• gabstoyanova/Game-Of-Life-Project

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

  Language:Jupyter Notebook310

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

  Language:MATLAB1000