hisah Goto Github PK

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dataset

dataset-1

The Open Images dataset

debs-2015-realtime-analytics-patterns

DEBS 2015 - Realtime Analytics Patterns with WSO2 CEP, Siddhi & Apache Storm

deep_learning_object_detection

A paper list of object detection using deep learning.

deepprivate

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

digital-forensics-with-kali-linux

Digital Forensics with Kali Linux, published by Packt

directed_research_cs_2018

This repository is for the subject "direct research in computer science B" from the university of Tsukuba

dlaicourse

Notebooks for learning deep learning

documents

Decentralized Privacy-Preserving Proximity Tracing -- Documents

emailheaderanomalydetection

Using machine learning and features extracted from email headers to detect anomalies (i.e., spam, phishing) in email datasets.

entity-recognition-in-resumes-spacy

Automatic Summarization of Resumes with NER -> Evaluate resumes at a glance through Named Entity Recognition

examples

TensorFlow examples

gan-for-tabular-data

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

ganhacks

starter from "How to Train a GAN?" at NIPS2016

generative-adversarial-networks-roadmap

The Roadmap to Learn Generative Adversarial Networks (GANs)

google-research

Google Research

hisah.github.io

ibmstreamspythonapplications

Notebooks showing Streams applications written in Python

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

interpretability

kaggle-solutions

🏆 The Most Comprehensive List of Kaggle Solutions and Ideas

ktrain

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

learning_journal

lstm-sentiment-analysis

Sentiment Analysis with LSTMs in Tensorflow

machine-learning-systems-design

A booklet on machine learning systems design with exercises

machine-learning-with-python

Python code for common Machine Learning Algorithms