Keras implementation of a CNN network for age and gender estimation
Convert CUDA to Portable C++ Code that can be compiled to run on NVIDIA or AMD GPUs
Repo for the Deep Reinforcement Learning Nanodegree program
A large-scale entity and relation database supporting very large graphs containing rich, aggregated properties on the nodes and edges. Several storage options are available, including Accumulo, Hbase and Parquet.
Probabilistic reasoning and statistical analysis in TensorFlow
Software and Skills for Personal Assistants using SUSI AI / Artificial Intelligence for Chat Bots
Jupyter meets Vim. Vimmer will fall in love.
JupyterLab computational environment
Open Source, Distributed, RESTful Search Engine
A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model
Enhanced Super-Resolution Generative Adversarial Networks
nGraph is an open source C++ library, compiler and runtime for Deep Learning frameworks
Additional useful algorithms that can be used with spark.
A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
A scala kernel for Jupyter
Distributed deep learning system
Turi Create simplifies the development of custom machine learning models.
Neural Network Package provides an easy and modular way to build and train simple or complex neural networks using Torch
A library for transfer learning by reusing parts of TensorFlow models.
Interactive Go programming with Jupyter
Vim notebook cell bindings for Jupyterlab
Simple Tensorflow implementation of "Unsupervised Image to Image Translation Networks" (NIPS 2017)
Go efficient text segmentation; support english, chinese, japanese and others
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
A system for quickly generating training data with weak supervision
Synthesizing and manipulating 2048x1024 images with conditional GANs
Deep Learning for humans
Facebook AI Research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Library targeting Intel Architecture for small, dense or sparse matrix multiplications, and small convolutions.
Similar to how Hadoop provides a set of general primitives for doing batch processing, Storm provides a set of general primitives for doing realtime computation