ciuccislab's Stars
OptimalScale/LMFlow
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
elvissoares/PyCahnHilliard
A python script to solve the Cahn-Hilliard equation using an implicit pseudospectral method
sanjayg0/ims
Matlab codes from the book Introduction to Mechanics of Solids, Oxford University Press (2022) by Lallit Anand, Ken Kamrin, and Sanjay Govindjee; and Matlab codes from the companion problems book, Example Problems for Introduction to Mechanics of Solid Materials: Student Edition (2022) by Lallit Anand, Ken Kamrin, and Sanjay Govindjee
vlvovch/PHYS6350-ComputationalPhysics
Lecture notes and code for the course PHYS6350 Computational Physics at the University of Houston
lean-dojo/LeanCopilot
LLMs as Copilots for Theorem Proving in Lean
google-deepmind/materials_discovery
MaximeVH/EquivalentCircuits.jl
A julia package to either fit the parameters of a specified equivalent electrical circuit to electrochemical impedance data, or to suggest a plausible circuit configuration for a given set of measurements (either through a comparison of circuits from the literature, or through an evolutionary algorithm approach).
AI4Finance-Foundation/FinGPT
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
omrijsharon/torchlex
Complex tensor and complex functions for pytorch.
reworkd/AgentGPT
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
jdhuang-csm/bayes-drt
Hierarchical Bayesian methods for inversion of electrochemical impedance spectroscopy (EIS) data
scholarly-python-package/scholarly
Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!
giangtle/DRT_Lib
Collection of different algorithms for calculating impedance distribution of relaxation time
IntelLabs/bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
facebookincubator/flowtorch
This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a community of users and contributors by focusing initially on complete infra and documentation for how to use and create components.
tum-pbs/PhiFlow
A differentiable PDE solving framework for machine learning
james-simon/eigenlearning
codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"
google/neural-tangents
Fast and Easy Infinite Neural Networks in Python
cagrell/gp_constr
Python model for constrained GP