Sasa Li's repositories

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bookclub

Notes and links from the book club meetings

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chinese-poetry

Chinese poetry generation and deploy on Lambda/API Gateway

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config

all config about bash/vim/alias etc.

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darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

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darknet_scripts

Auxilary scripts to work with (YOLO) darknet deep learning famework. AKA -> How to generate YOLO anchors?

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deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

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examples

TensorFlow examples

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LightGBM

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

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Machine-Learning-in-R

This repository contains my ML scripts in R

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odsc_mlops_from_model_to_prod

Machine Learning Operations (MLOps) are essential to build successful Data Science use-cases. Today, ML is powering data driven use-cases that are transforming industries around the world. In order to seize and hold it's competitive advantage business needs to reduce risk therefore a new expertise rises to include data science models in operational systems. According to Gartner Research “While many organizations have experimented with AI proofs of concept, there are still major blockers to operationalizing its development. IT leaders must strive to move beyond the POC to ensure that more projects get to production and that they do so at scale to deliver business value. (July 2020)”. In this session, we will discuss the role of MLOps and how they can help data science models from deployment to maintenance with focus on: keep track of performance degradation overtime from model predictions quality, setting up continuous evaluation metrics and tuning the model performance in both training and serving pipelines that are deployed in production.

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product-nets

This is the tensorflow implementation of "Product-based Neural Networks for User Response Prediction".

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PyKrige

Kriging Toolkit for Python

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pyKriging

Welcome to the User Friendly Python Kriging Toolbox!

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Python-GUI-examples

A growing collection of bare-bones GUI examples for python (PyQt4, Python 3)

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RAKE-tutorial

A python implementation of the Rapid Automatic Keyword Extraction

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scipy_con_2019

Tutorial Sessions for SciPy Con 2019

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SDS385

SDS 385: Statistical Models for Big Data

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sklearn-build-lambda

Build the numpy/scipy/scikitlearn packages and strip them down to run in Lambda

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stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

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t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

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vim-solarized8

Optimized Solarized colorschemes. Best served with true-color terminals!

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YAD2K

YAD2K: Yet Another Darknet 2 Keras

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yolo-tf

TensorFlow implementation of the YOLO (You Only Look Once)

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