ai-deadlines

:alarm_clock: AI conference deadline countdowns

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

azure-hc-intel-tf

Setup Azure HC-series to run deep learning distributed training with intel-tensorflow and Horovod

backtobackswe

Legacy Code Examples For Back To Back SWE Lessons

bangla-dictionary

Ridmik Dictionary - Open source English to Bangla dictionary for Android

benchmarks

A benchmark framework for Tensorflow

bengali-handwritten-character-recognition-using-convolutional-neural-networks

Implementation of convolutional neural networks (CNNs) of increasing complexity for classification of handwritten Bengali characters. The deepest network achieves 94.2% accuracy on test data, compared to 85.96% reported on the latest paper using CNNs for Bengali OCR.

binaryconnect

Training Deep Neural Networks with binary weights during propagations

blackboxauditing

Research code for auditing and exploring black box machine-learning models.

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

cloud-computing

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cs-180

UCLA CS 180

deepbench

Benchmarking Deep Learning operations on different hardware

deeplearning.ai

deeplearning.ai , By Andrew Ng, Deep Learning Specialization Master Deep Learning, and Break into AI

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

dl-learner

A tool for supervised Machine Learning in OWL and Description Logics

dl-learner-protege-plugin

A Protégé plugin for the DL-Learner framework

ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

ecii

Learning description from examples: An efficient approach to analyzing big data

ecii-expr

Experiments for AAAI-2019 paper: Efficient Concept Induction for Description Logics

ecii-pipeline

emotion-recognition-neural-networks

Emotion recognition using DNN with tensorflow

explaining-data-differentials

Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge

google-interview-university

A complete computer science study plan to become a software engineer.

got-book-6

LSTM trained on the first five ASOIAF/GOT books

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and MXNet.

interviews

Everything you need to know to get the job.

itextpdf

Core Java Library + PDF/A, xtra and XML Worker

jena

Mirror of Apache Jena