Qianhui-Zheng's Stars
cran/LearnBayes
:exclamation: This is a read-only mirror of the CRAN R package repository. LearnBayes — Functions for Learning Bayesian Inference
sloria/TextBlob
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
QuantEcon/QuantEcon.py
A community based Python library for quantitative economics
shijianjian/EfficientNet-PyTorch-3D
A PyTorch implementation of EfficientNet
ryanhanwu/How-To-Ask-Questions-The-Smart-Way
本文原文由知名 Hacker Eric S. Raymond 所撰寫,教你如何正確的提出技術問題並獲得你滿意的答案。
DocF/Soft-NMS
Python and Pytorch two implements of Soft NMS algorithm
gdlg/pytorch_nms
CUDA implementation of NMS for PyTorch
leoxiaobin/deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
pdima/kaggle_RSNA_Pneumonia_Detection
yhenon/pytorch-retinanet
Pytorch implementation of RetinaNet object detection.
mingot/lung_cancer_ds_bowl
Data Science Bowl 2017 for lung cancer prediction with Keras
tatigabru/kaggle-rsna
Deep Learning for Automatic Pneumonia Detection, RSNA challenge
kjw0612/awesome-random-forest
Random Forest - a curated list of resources regarding random forest
87surendra/Random-Forest-Image-Classification-using-Python
Random Forest Image Classification using Python
soumyadip007/Object-Oriented-Programming-Using-Python
Python is a multi-paradigm programming language. Meaning, it supports different programming approach. One of the popular approach to solve a programming problem is by creating objects. This is known as Object-Oriented Programming (OOP).
PacktPublishing/Mastering-Object-Oriented-Python-Second-Edition
Mastering Object-Oriented Python - Second Edition, published by Packt
zhixuhao/unet
unet for image segmentation
anishshah23/Social-Network-analysis-on-Twitter-Data
Using Twitter package in R with the search API, collected tweets and grouped them by geo location as in google maps API and plotted them on the geo map of USA according to number of tweets per state. Technology: R| Tools: Jupyter, Rstudio | libraries: ggplot, ggmap, geom_map.