sobalgi's Stars
nabati/freelancing-in-sweden
The ultimate resource for becoming a freelancer in Sweden 🇸🇪 👨💻
cGNF-Dev/cGNF
A Python Module for Implementing causal-Graphical Normalizing Flows.
cGNF-Dev/cGNF-Tutorials
Python Tutorials for cGNF Implementation
bradyneal/realcause
Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed causal structure.
AWehenkel/UMNN
Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.
pedemonte96/causaleffect
Python package to compute conditional and non-conditional causal effects.
AWehenkel/Graphical-Normalizing-Flows
Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tractable Jacobian.
FenTechSolutions/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
wvangansbeke/Unsupervised-Classification
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
lixin4ever/Conference-Acceptance-Rate
Acceptance rates for the major AI conferences
LiyuanLucasLiu/Torch-Scope
A Toolkit for Training, Tracking, Saving Models and Syncing Results
wellecks/port_opt
Portfolio Optimization in Python