Wenkai Liang's repositories
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
BatCan
Battery--Cantera: Modeling fundamental physical chemistry in batteries using Cantera.
bert
TensorFlow code and pre-trained models for BERT
BERT-pytorch
Google AI 2018 BERT pytorch implementation
chemprop
Message Passing Neural Networks for Molecule Property Prediction
CombML_Tutorials
Basic tutorials of supervised, unsupervised, and reinforcement learning
cp2k
Quantum chemistry and solid state physics software package
CP2K_for_Windows
CP2K binaries for 32bit Windows
ember
Quasi-1D Unsteady Flame Solver
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
hikyuu
Hikyuu Quant Framework 基于C++/Python的开源量化交易研究框架
lstm
Minimal, clean example of lstm neural network training in python, for learning purposes.
machine-learning
Content for Udacity's Machine Learning curriculum
MachineLearning
Basic Machine Learning and Deep Learning
MESS
a master equation system solver
NGA2
Object-oriented multi-mesh version of the classic reacting turbulent multiphase flow solver
PyCSP
A collection of tools based on Computational Singular Perturbation for the analysis of chemically reacting systems
pydstool
PyDSTool main development repo
PyFR
PyFR
python-fortran
Python-Fortran bindings examples
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
QUANTAXIS
QUANTAXIS
QuantEcon.py
A community based Python library for quantitative economics
QuantLib
The QuantLib C++ library
RMG-Py
Python version of the amazing Reaction Mechanism Generator (RMG).
RXMD
RXMD : Linear-Scaling Parallel Reactive Molecular Dynamics Simulation Engine
TChem
TChem - A Software Toolkit for the Analysis of Complex Kinetic Models
tech-interview-handbook
💯 Curated interview preparation materials for busy engineers