Essie Chiang (essie-chiang)

essie-chiang

Geek Repo

Company:IBM

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Essie Chiang's repositories

medical-projects

A crazy trial for Rabbit MRI from friend.

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memcached-operator

openshift 4.6 doc

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3DUnetCNN

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

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AI-For-Beginners

12 Weeks, 24 Lessons, AI for All!

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ChatALL

Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers

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course-nlp

A Code-First Introduction to NLP course

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cp4d-monitors

Additional monitors for IBM Cloud Pak for Data, which can be deployed either using the IBM Cloud Pak Deployer, or using regular command line commands. The monitors adhere to the zen-watchdog interface and will be added to the Events and Alerts of Cloud Pak for Data. These monitors focus more on the functional usage of IBM Cloud Pak for Data and can

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distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

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gopl.io

Example programs from "The Go Programming Language"

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home-brew-docker

A wierd taste of docker

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kubernetes-handbook

Kubernetes中文指南/实践手册

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leetcode_101

LeetCode 101:和你一起你轻松刷题(C++)

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movielens

4 different recommendation engines for the MovieLens dataset.

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netron

Visualizer for neural network, deep learning and machine learning models

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nlp-tutorial

A list of NLP(Natural Language Processing) tutorials

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omc

OpenShift Must-Gather Client

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openshift

Repository for Red Hat OpenShift Container Platform (commands, cheatsheet, and manymore!)

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paper-reading

深度学习经典、新论文逐段精读

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prompt-engineering-for-developers

吴恩达大模型系列课程中文版,包括《Prompt Engineering》、《Building System》和《LangChain》

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pysonar2-2

PySonar2: an advanced semantic indexer for Python

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redhat-marketplace-operator

Red Hat Marketplace Operator

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rethinking-network-pruning

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

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TensorFlow-2.x-Tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。

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WWCodePython

Content, Code & Resources for WWCodePython Events

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