Pinned Repositories
100-nlp-papers
100 Must-Read NLP Papers
100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
ADS_Teaching
Teaching repo for Applied Data Science @ Columbia, a project-based course for data science skills (statistical thinking, machine learning, data engineering, team work, presentation, endurance of frustration, etc).
AdvML-Fall-18
A collection of useful files for the Advanced Machine Learning (GR5242) Fall 2018 course.
CIFAR10-Image_Classification
CIFAR10-Image-Classification
data-challenge-
Fall2018-Proj1-ouyangfangqi
What makes you happy?
Fall2018-Proj3-Sec2-grp4
Fall2018-Proj3-Sec2--group_4 created by GitHub Classroom
Fall2018-Project4-sec2-grp10
Fall2018-Project4-sec2--sec2proj4_grp10 created by GitHub Classroom
predients-speech-NLP
francyya's Repositories
francyya/100-nlp-papers
100 Must-Read NLP Papers
francyya/100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
francyya/CIFAR10-Image_Classification
CIFAR10-Image-Classification
francyya/data-challenge-
francyya/predients-speech-NLP
francyya/Breast-Cancer-Detection
AI app to detect breast cancer in histopathological database
francyya/CausalImpact
An R package for causal inference in time series
francyya/Data-Science--Cheat-Sheet
Cheat Sheets
francyya/Data-Task-
francyya/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
francyya/deepjazz
Deep learning driven jazz generation using Keras & Theano!
francyya/dlaicourse
Notebooks for learning deep learning
francyya/dockerlabs
Docker - Beginners | Intermediate | Advanced
francyya/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
francyya/Hidden-Markov-Chain-HMM-Tagger
Hidden Markov model for part of speech tagging
francyya/linux-command
Linux命令大全搜索工具，内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux
francyya/LungCancerDetection
Use CNN to detect nodules in LIDC dataset.
francyya/mathAI
一个拍照做题程序。输入一张包含数学计算题的图片，输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.
francyya/mlflow
Open source platform for the machine learning lifecycle
francyya/Music_Taste_Analysis
This is the user tastes analysis using Spotify API
francyya/notebooks
RAPIDS Sample Notebooks
francyya/ODSC
🍭 Hold your breath, make a wish / Count to three
francyya/python-scraping
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
francyya/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
francyya/pytorch-pretrained-BERT
📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
francyya/shap
A unified approach to explain the output of any machine learning model.
francyya/soft-nms
Object Detection
francyya/tensorflow
An Open Source Machine Learning Framework for Everyone
francyya/Text-Classification-Analysis
francyya/tf-idf_and_k-means
Text clustering with K-means and tf-idf