Public development project of the LAMMPS MD software package

Chemical kinetics, thermodynamics, and transport tool suite

Open source MOOSE framework application for simulating plasmas

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

XOOPIC is a two-dimensional 3-velocity particle-in-cell simulator. It can handle electrostatic and electromagnetic models, has a large variety of boundary conditions, supports multiple gasses and g…

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

A modular graph-based Retrieval-Augmented Generation (RAG) system

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforcement Learning, Computer Vision).

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…

FinRL: Financial Reinforcement Learning. 🔥

Particle-in-cell code for plasma simulation

A low-temperature plasma simulation framework built on foam-extend

This repository contains a parallelized C++ etching simulation of CF4 gas on a Si wafer, where a mask is placed between the wafer and the plasma. It offers three different configurations and two di…

An open source Python package for plasma research and education

Python tool for modeling silicon etch profile from the dry plasma etching tool in the SNF

Development repository for ViennaPS, a fully-fledged semiconductor fabrication process simulation library.

This is an SDK for Google Cloud Explainable AI service. Explainable AI SDK helps users build explanation metadata for their models and visualize feature attributions returned from the model.

This repos contains notebooks for the Advanced Solutions Lab: ML Immersion

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A collection of the most important Github repos for ML, AI & Data science practitioners

The Memory layer for AI Agents

Implement AI Trading Strategies with Backtrader