philliphine

philliphine's Stars

• pybamm-team/pybamm-validation

  Validation of PyBaMM models

  Language:Python51

• pybamm-team/liionpack

  A battery pack simulation tool that uses the PyBaMM framework

  Language:Python8326

• hanrach/p2d_solver

  Solver for pseudo-2D model of Li-ion battery based on Finite difference Method. Incorporation of JAX for the nonlinear solver.

  Language:Python101

• decaluwe/p2d_li_ion_battery

  Pseudo-2D Newman-type model of a Li ion battery

  Language:Python304

• pzweuj/WordWriter

  替换docx文件标签内容的python模块

  Language:Python95

• ivanbicalho/python-docx-replace

  Replace words inside a Word document without losing format

  Language:Python6511

• rohitbatra1989/MOFWaterStability

  Language:Python5

• rdkit/rdkit

  The official sources for the RDKit library

  Language:HTML2.6k866

• medford-group/predict_K_H

  11

• materialsproject/pymatgen

  Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.

  Language:Python1.5k851

• yoonseonghyun/2020-C2

  Language:Jupyter Notebook1

• zx2012flying/Integrated-MOF-and-PVSA-Process-Design

  Language:GAMS3

• Sangwon91/PORMAKE

  Python library for the construction of porous materials using topology and building blocks.

  Language:Python5512

• tobacco-mofs/tobacco_3.0

  Language:Python4628

• philliphine/pacmof

  PACMOF is a small and easy to use python library that uses machine Learning to quickly estimate partial atomic charges in metal-organic frameworks.

  1

• txie-93/cgcnn

  Crystal graph convolutional neural networks for predicting material properties.

  Language:Python630306

• snurr-group/web-mofid

  Hosting the MOFid website -- update via `make github-web` in https://github.com/snurr-group/mofid

  Language:JavaScript71

• reymond-group/smilesDrawer

  A small, highly performant JavaScript component for parsing and drawing SMILES strings. Released under the MIT license.

  Language:JavaScript43567

• hudson-and-thames/mlfinlab

  MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

  Language:Python3.9k1.1k

• core-cof/CoRE-COF-Database

  4011

• ajz34/Kennard-Stone-Efficient

  Efficiently implemented Kennard-Stone sampling algorithms for quite large datasets

  Language:Python51

• CannyLab/tsne-cuda

  GPU Accelerated t-SNE for CUDA with Python bindings

  Language:Cuda1.8k126

• gdev7/mBUD

  Language:Python41

• dilshod/xlsx2csv

  Convert xslx to csv, it is fast, and works for huge xlsx files

  Language:Python1.6k301

• hjkgrp/molSimplify

  molSimplify code

  Language:Python16749

• swansonk14/p_tqdm

  Parallel processing with progress bars

  Language:Python45644

• kjappelbaum/mofchecker

  Basic sanity checks for MOFs.

  Language:Python214

• Becksteinlab/GromacsWrapper

  GromacsWrapper wraps system calls to GROMACS tools into thin Python classes (GROMACS 4.6.5 - 2024 supported).

  Language:Python16954

• ShusenTang/Dive-into-DL-PyTorch

  本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

  Language:Jupyter Notebook18.2k5.4k

• OUCMachineLearning/OUCML

  Language:Python4.6k1.3k