AI-and-ML
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awesome-causality
awesome-causality PublicForked from napsternxg/awesome-causality
Resources related to causality
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decagon
decagon PublicForked from mims-harvard/decagon
Graph convolutional neural network for multirelational link prediction
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causal_inference_python_code
causal_inference_python_code PublicForked from jrfiedler/causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
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cibookex-r
cibookex-r PublicForked from remlapmot/cibookex-r
Causal Inference: What If. R and Stata code for Exercises
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- DeepRUOTv2 Public Forked from zhenyiizhang/DeepRUOTv2
DeepRUOTv2 (Dynamical Optimal Transport Tools)
AI-and-ML/DeepRUOTv2’s past year of commit activity - PySR Public Forked from MilesCranmer/PySR
Simple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing
AI-and-ML/PySR’s past year of commit activity - DeepRUOT Public Forked from zhenyiizhang/DeepRUOT
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport (ICLR'25 oral)
AI-and-ML/DeepRUOT’s past year of commit activity - InterPLM Public Forked from ElanaPearl/InterPLM
Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders
AI-and-ML/InterPLM’s past year of commit activity
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