lululelu's Stars
tensorflow/models
Models and examples built with TensorFlow
fastai/fastai
The fastai deep learning library
networkx/networkx
Network Analysis in Python
deepchem/deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
lyst/lightfm
A Python implementation of LightFM, a hybrid recommendation algorithm.
PyImageSearch/imutils
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
benfred/implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
plotly/dash-sample-apps
Open-source demos hosted on Dash Gallery
kizniche/Mycodo
An environmental monitoring and regulation system
rapidfuzz/RapidFuzz
Rapid fuzzy string matching in Python using various string metrics
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.
JustGlowing/minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
juancarlospaco/faster-than-requests
Faster requests on Python 3
ahmetozlu/vehicle_counting_tensorflow
:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.
trainindata/deploying-machine-learning-models
Code for the online course "Deployment of Machine Learning Models"
itdxer/neupy
NeuPy is a Tensorflow based python library for prototyping and building neural networks
materialsvirtuallab/megnet
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
mesolitica/malaya
Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/
mrkllntschpp/lammps-tutorials
LAMMPS tutorials for Beginners
wobsoriano/covid3d
🌏 An interactive 3D visualization of COVID-19.
qmlcode/qml
QML: Quantum Machine Learning
BingqingCheng/ASAP
ASAP is a package that can quickly analyze and visualize datasets of crystal or molecular structures.
superhen/Automated-Job-Resume-Matching-Solution
According to a 2015 study on job seeking behavior by Pew Research Center, 79% of the job seekers utilized the online resources for their most recent employment (Aaron ,2015). This study result suggests that the online job boards become the major channel for job seekers in the digital era. However, another finding in the study indicates that most of the job seekers fail to match their experiences with the job requirements and spend hours on job board to apply job which is not seen to be suitable (Aaron, 2015). Additionally, Dr. John Sullivan conducted a similar research in 2013 which highlighted some interesting aspects: on average, 250 resumes are received for each job opening by the major organizations, more than 50% of the resumes does not meet the minimum requirement (John, 2013). This means the time our recruiter spends on these 50% of the resumes for each job is wasted. From both candidate and recruiter’s points of view, the phenomenon may suggest that the traditional online job board does not seem to simplify the job application process or reduce the effort required from both parties. With this challenge getting bigger and bigger, the demand to automate the resume - job matching process is getting increased as well. For instance, the content - based recommendation system (CBR) is introduced to analyze the job description to identify the potential area of interest to the job seekers (Shiqiang et al., 2016). To apply the concept in Singapore local context, our team has conducted a text mining project based on the data acquired from the major online job board in Singapore. The primary objective of this project is to create a machine learning model to accelerate the job - resume matching process. The detail of the text mining methodology and results are presented in the following sections.
by256/icsg3d
3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning (JCIM 2020)
noodlefrenzy/easy-tensorflow-multimodel-server
Simple to run server for multiple TensorFlow Object Detection models
eltonbrasil/SimSPR
Open-source simulator for Surface Plasmon Resonance (SPR) applications implemented in C++ language.
JLBLine/PUMA
qxmd/ImplicitMF
A set of matrix factorization techniques to provide recommendations for implicit feedback datasets.
spppaperview/LaTeX-article-template
Current version for SPP2023
Qcatbot/Superconductivty_criticalTemp_pred
This repo shows predicting critical temperature of superconductivity using several machine learning techniques.