Gilles Louppe (glouppe)

glouppe

Geek Repo

Company:ULiège

Location:Belgium

Home Page:http://glouppe.github.io

Twitter:@glouppe

Github PK Tool:Github PK Tool


Organizations
probabilists
scikit-learn-contrib
scikit-optimize

Gilles Louppe's starred repositories

grok-1

Grok open release

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InstantID

InstantID : Zero-shot Identity-Preserving Generation in Seconds 🔥

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jax-md

Differentiable, Hardware Accelerated, Molecular Dynamics

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Pangu-Weather

An official implementation of Pangu-Weather

jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX.

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modulus

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

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ferminet

An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations

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PDEBench

PDEBench: An Extensive Benchmark for Scientific Machine Learning

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FourCastNet

Initial public release of code, data, and model weights for FourCastNet

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AIRS

Artificial Intelligence Research for Science (AIRS)

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weatherbench2

A benchmark for the next generation of data-driven global weather models.

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metnet

PyTorch Implementation of Google Research's MetNet and MetNet-2

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einx

Universal Tensor Operations in Einstein-Inspired Notation for Python.

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Score-Entropy-Discrete-Diffusion

[ICML 2024 Oral] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)

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scalax

A simple library for scaling up JAX programs

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Awesome-LWMs

🌍 A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)

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AstroCLIP

Multimodal contrastive pretraining for astronomical data

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IP_and_Im_Lectures

10 Lectures on Inverse Problems and Imaging

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inox

Stainless neural networks in JAX

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PAPERCLIP-Hubble

Semantic alignment of astronomical data with natural language using multi-modal models. (Jax) Code associated with https://arxiv.org/abs/2403.08851.

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lc2st

Offical code for "L-C2ST: Local Validation Diagnostics for Posterior Approximations in Simulation-Based Inference", NeurIPS 2023

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