FredericWantiez
Follow
Stars
Official implementation of Score-based Data Assimilation
An interactive HTML pretty-printer for machine learning research in IPython notebooks.
JAX - A curated list of resources https://github.com/google/jax
Joint parameter and state inference for state space models using Bayesian techniques
Parallel solvers for optimization problems
Checkpointing for Automatic Differentiation
Julia package for data manipulation and analysis
Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcome for bug fixes and minor changes.
Macros and functions to work with DSGE models.
This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.
Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.
Functional, persistent, off-heap, high performance data structure
A parallel framework for deep learning
Ripser: efficient computation of Vietoris–Rips persistence barcodes
A Lean Persistent Homology Library for Python
Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2024.
Hybrid visual and textual functional programming.
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
Uncertainty quantification with PyTorch
Sparse, General Linear Algebra for Graphs!
Programming Gemm Kernels on NVIDIA GPUs with Tensor Cores in Julia
The statistical language R compiled to WebAssembly via Emscripten, for use in web browsers and Node.
GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lift) of ad campaign.
An intermediate complexity atmospheric general circulation model
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.