Rémi Lafage (relf)

relf

Geek Repo

Company:ONERA

Location:Toulouse, France

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Organizations
onera
OneraHub
rust-ml
SMTorg

Rémi Lafage's starred repositories

resume.github.com

Resumes generated using the GitHub informations

rails

Ruby on Rails

devise

Flexible authentication solution for Rails with Warden.

candle

Minimalist ML framework for Rust

Language:RustLicense:Apache-2.0Stargazers:14745Issues:147Issues:635

pyo3

Rust bindings for the Python interpreter

Language:RustLicense:NOASSERTIONStargazers:11645Issues:96Issues:1312

thrift

Apache Thrift

Language:C++License:Apache-2.0Stargazers:10268Issues:466Issues:0

burn

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

Language:RustLicense:Apache-2.0Stargazers:7981Issues:63Issues:612

llm

[Unmaintained, see README] An ecosystem of Rust libraries for working with large language models

Language:RustLicense:Apache-2.0Stargazers:6061Issues:50Issues:230

tch-rs

Rust bindings for the C++ api of PyTorch.

Language:RustLicense:Apache-2.0Stargazers:4078Issues:55Issues:556

linfa

A Rust machine learning framework.

Language:RustLicense:Apache-2.0Stargazers:3600Issues:67Issues:153

maturin

Build and publish crates with pyo3, cffi and uniffi bindings as well as rust binaries as python packages

Language:RustLicense:Apache-2.0Stargazers:3562Issues:30Issues:592

ndarray

ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations

Language:RustLicense:Apache-2.0Stargazers:3456Issues:55Issues:637

passenger-docker

Docker base images for Ruby, Python, Node.js and Meteor web apps

Language:ShellLicense:MITStargazers:2763Issues:74Issues:285

faer-rs

Linear algebra foundation for the Rust programming language

Language:RustLicense:MITStargazers:1756Issues:20Issues:69

rust-numpy

PyO3-based Rust bindings of the NumPy C-API

Language:RustLicense:BSD-2-ClauseStargazers:1076Issues:25Issues:123

argmin

Numerical optimization in pure Rust

Language:RustLicense:Apache-2.0Stargazers:954Issues:14Issues:119

setuptools-rust

Setuptools plugin for Rust support

Language:PythonLicense:MITStargazers:584Issues:16Issues:121

shakapacker

Use Webpack to manage app-like JavaScript modules in Rails

Language:RubyLicense:MITStargazers:407Issues:13Issues:155

ndarray-linalg

Linear algebra package for rust-ndarray using LAPACK binding

Language:RustLicense:NOASSERTIONStargazers:359Issues:12Issues:147

prima

PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.

Language:FortranLicense:BSD-3-ClauseStargazers:292Issues:2Issues:84

torch-uncertainty

Open-source framework for uncertainty and deep learning models in PyTorch :seedling:

Language:PythonLicense:Apache-2.0Stargazers:240Issues:8Issues:30

ConfigSpace

Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.

Language:PythonLicense:NOASSERTIONStargazers:197Issues:9Issues:211

Aviary

NASA's aircraft analysis, design, and optimization tool

Language:PythonLicense:NOASSERTIONStargazers:118Issues:9Issues:203

hyperbo

Pre-trained Gaussian processes for Bayesian optimization

Language:PythonLicense:Apache-2.0Stargazers:70Issues:6Issues:4

pyo3-log

Logging bridge from pyo3 native extension to python

Language:RustLicense:Apache-2.0Stargazers:63Issues:5Issues:15

FAST-OAD

FAST-OAD: An open source framework for rapid Overall Aircraft Design

Language:PythonLicense:GPL-3.0Stargazers:47Issues:7Issues:165

mphys

Multiphysics with OpenMDAO

Language:PythonLicense:NOASSERTIONStargazers:47Issues:18Issues:46

rust-nlopt

Rust wrapper around the nlopt library

Language:CLicense:MITStargazers:22Issues:2Issues:9

JENN

Jacobian-Enhanced Neural Networks (JENN) are fully connected multi-layer perceptrons, whose training process was modified to account for gradient information. Specifically, the parameters are learned by minimizing the Least Squares Estimator (LSE), modified to minimize prediction error of both response values and partial derivatives.

Language:Jupyter NotebookLicense:MITStargazers:7Issues:1Issues:6