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annotated-semantic-relationships-datasets

A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)

anogan-tf

Tensorflow Implementation of AnoGAN (Anomaly GAN)

computervision__hefd-mcs

A High Efficiency Flame Detection Mobile Camera System (HEFD-MCS)

cookbook

The Data Engineering Cookbook

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

data-science-hackathon-and-competition

Top 10 in MachineHack | Top 200 in AnalyticsVidya & Zindi | Hack AI

docker-jenkins-flask-tutorial

docker-python

Kaggle Python docker image

docker-pytorch

A Docker image for PyTorch

faster_rcnn

Faster R-CNN

fasttext

Library for fast text representation and classification.

firenet

A deep learning model for detecting fire in video and camera streams

gaussian_lda

gensim

Topic Modelling for Humans

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

guidedlda

semi supervised guided topic model with custom guidedLDA

jupyterlab-git

A Git extension for JupyterLab

keras-applications

Reference implementations of popular deep learning models.

lda2vec-pytorch

Topic modeling with word vectors

lda2vec-tensorflow

Tensorflow 1.5 implementation of Chris Moody's Lda2vec, adapted from @meereeum

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn

A Test of matterport Mask_RCNN with some modifications, in term of some components' version (Example: Tensorflow version...)..

mediumarticles

Sample of Python codes from mathematical problems

meteor

MeteorTest

models

A collection of pre-trained, state-of-the-art models in the ONNX format

models-1

Models and examples built with TensorFlow

multilingual-gaussian-latent-dirichlet-allocation-mglda

mylda

SparseLDA implementation

nlp

Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang

nlp-in-practice

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.