utkarshani's Stars
XingruiWang/SuperCLEVR-Physics
A video question answering dataset that focuses on the dynamics properties of objects (velocity, acceleration) and their collisions within 4D scenes.
jayrobwilliams/Job-Market
Academic job market template
matteocourthoud/awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
familyld/Awesome-Causal-RL
A curated list of causal reinforcement learning resources.
karpathy/LLM101n
LLM101n: Let's build a Storyteller
Genentech/nodags-flows
academicpages/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
lazaratan/dyn-gfn
DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
Institute4FutureHealth/CHA
Conversational Health Agents: A Personalized LLM-powered Agent Framework
CausalAIBook/MetricsMLNotebooks
Notebooks for Applied Causal Inference Powered by ML and AI
aiim-research/GRETEL
GRETEL is a framework for the development and evaluation of Counterfactual Explanation methods for Graph Classifiers
SergeiVKalinin/MSE_Spring2024
The materials for the Spring Mathematics in Materials course at the UTK MSE
boschresearch/causalAssembly
BasisResearch/chirho
An experimental language for causal reasoning
dice-group/TemporalFC
This open-source project contains the Python implementation of our approach TemporalFC. This project is designed to ease real-world applications of fact-checking over knowledge graphs and produce better results.
PaulleDemon/PyCollision
Quickly makes hitboxes given an image, useful for collision detection. view demo images: https://github.com/PaulleDemon/PyCollision/blob/main/DemoImages.md
linkml/owlstar
Ontological Interpretations for Web Property Graphs
dglai/Thewebconf2023-Tutorial
zfchenUnique/DCL-Release
This repo contains the pytorch implementation for Dynamic Concept Learner (accepted by ICLR 2021).
Diison/WaExt
Code for our WaExt paper
GFNOrg/gflownet
Generative Flow Networks
dingmyu/VRDP
[NeurIPS 2021] Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
criteo-research/CausE
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
sorawitj/counterfactual-mean-embedding
innvariant/deepgg
migalkin/NodePiece
Compositional and Parameter-Efficient Representations for Large Knowledge Graphs (ICLR'22)
dwolter/SparQ
qualitative spatio-temporal reasoning toolbox
GoPeaks-AI/meta2causalgraph
Organizing, querying, and drawing causal graphs from a meta-analysis knowledge graph database
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
taichi-dev/taichi
Productive, portable, and performant GPU programming in Python.