Machine Learning in Production
Some thoughts on how to use machine learning in production
Tensorflow Programs and Tutorials
Implementations of CNNs, RNNs, GANs, etc
Self-hosted “SQL-not-required” data analytics and visualisation tool.
Benchmarks for popular CNN models
Client-side reusable Charting Library based on D3.js
A grammar of graphics for Python
The tool to make NLP datasets ready to use
Deep Chat Models
Conversation models in TensorFlow.
Fully Convolutional Instance-aware Semantic Segmentation
Generalized Additive Models in Python
Inferring and Executing Programs for Visual Reasoning
A compact yet powerful distributed stream processing library for Apache Kafka written in Go.
A similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces
Taxonomies used in MISP taxonomy system and can be used by other information sharing tool.
GPU open analytics initiative
Apache Trafodion (incubating)
A webscale SQL-on-Hadoop solution enabling transactional or operational workloads on Apache Hadoop.
Subscribe for upcoming posts!
Join the channel!