cassandra-t-oduola Goto Github PK

assistant-sdk-python

Samples and bindings for the Google Assistant API

attngan

caffe

Caffe: a fast open framework for deep learning.

capsule-network-tutorial

Pytorch easy-to-follow Capsule Network tutorial

chart.js

Simple HTML5 Charts using the <canvas> tag

cloud-vision

Sample code for Google Cloud Vision

cocoapi

COCO API - Dataset @ http://cocodataset.org/

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

deep-fbanks

Deep Filter Banks for Texture Recognition, Description and Segmentation (CVPR15)

deeplearningproject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

deepmask

Torch implementation of DeepMask and SharpMask

graph

harvey

introduction-to-python-numerical-analysis-for-engineers-and-scientist

Introduction to Python: Numerical Analysis for Engineers and Scientist. In 2017, Python became the world's most popular programming language. This course covers the basic syntax, linear algebra, plotting, and more to prepare students for solving numerical problems with Python.

magenta

Magenta: Music and Art Generation with Machine Intelligence

mask_rcnn

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

mmlspark

Microsoft Machine Learning for Apache Spark

mne_uom_disseration_template

nltk

NLTK Source

opencv

Open Source Computer Vision Library

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

pytorch-value-iteration-networks

Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)

quantum-fog

Python tools for analyzing both classical and quantum Bayesian Networks

raccoon_dataset

The dataset is used to train my own raccoon detector and I blogged about it on Medium

recommenders

Recommender Systems

redisearch

FullText Search module for redis

snap-nxt

A block module and local server for Snap! to interface with the Mindstorms NXT.

sumproduct

Sum product algorithm - Belief propagation (message passing) for factor graphs

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow

Computation using data flow graphs for scalable machine learning