nesar

nesar's Stars

• EmuKit/emukit

  A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

  Language:Python595128

• NERSC/nersc-dl-multigpu

  single-GPU to multi-GPU training of PyTorch apps at NERSC

  Language:Python142

• michaelbuehlmann/watercolor-light

  Language:Jupyter Notebook1

• Astropianist/DustE

  Calculate dust attenuation curves for 0.5<z<3.0 galaxies as a function of stellar mass, star formation rate, metallicity, redshift, and/or axis ratio (inclination).

  Language:Python41

• leobeeson/llm_benchmarks

  A collection of benchmarks and datasets for evaluating LLM.

  25919

• acharroux/Movidius-On-MacOS

  How to trick a Movidius sdk install so you can natively use the Movidius stick on your Macintosh

  8618

• ollama/ollama

  Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

  Language:Go92.1k7.3k

• OptimalScale/LMFlow

  An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

  Language:Python8.2k823

• EleutherAI/lm-evaluation-harness

  A framework for few-shot evaluation of language models.

  Language:Python6.6k1.7k

• graphdeeplearning/graphtransformer

  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

  Language:Python873134

• IPMUCD3/ai4phys

  Hack resources for workshop "AI-driven discovery in physics and astrophysics"

  Language:Jupyter Notebook62

• jmeadows17/deriving-equations-with-LLMs

  Generating math reasoning with language models

  Language:Python10

• saforem2/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python2

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python19.9k2.5k

• brettin/llm_tutorial

  llm_tutorials

  Language:Jupyter Notebook43

• henrysky/astroNN_stars_foundation

  Code for Leung & Bovy 2023

  Language:Jupyter Notebook18

• humz2k/HACC_GPM

  Language:C++4

• azton/minimal_fsdp

  A very minimal example to get LLM models working with FSDP. The goal is to be minimal, yet scalable to demonstrate the strengths of FSDP.

  Language:Python73

• nesar/hydro_colors

  Painting HACC-hydro simulations using stellar population synthesis

  Language:Jupyter Notebook1

• fastai/nbdev

  Create delightful software with Jupyter Notebooks

  Language:Jupyter Notebook4.9k487

• WassimTenachi/PhySO

  Physical Symbolic Optimization

  Language:Python1.8k249

• franciskasara/maskrcnn-from-scratch

  Building a maskrcnn from scratch using tensorflow and keras

  Language:Jupyter Notebook5015

• nesar/emulator_utils

  Utilities for emulation of HACC data products

  Language:Common Lisp2

• deephyper/quickstart

  Collection of scripts to start faster with DeepHyper on specific systems.

  Language:Python2

• showyourwork/showyourwork

  A workflow for reproducible and open scientific articles

  Language:TeX56044

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python59.7k25.3k

• patricialarsen/emulator_utils

  Utilities for emulation of HACC data products

  Language:Common Lisp11

• JavierAntoran/Bayesian-Neural-Networks

  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

  Language:Jupyter Notebook1.8k305

• argonne-lcf/ai-science-training-series

  Language:Jupyter Notebook190548

• lanl/SEPIA

  Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.

  Language:Python296