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an SSO and OAuth / OIDC login solution for Nginx using the auth_request module
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Exploratory analysis of Bayesian models with Python
A topic-centric list of HQ open datasets.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Notebooks and various random fun
Notebooks for learning deep learning
Neural network visualization toolkit for keras
Layers Outputs and Gradients in Keras. Made easy.
PyTorch Tutorial for Deep Learning Researchers
Models and examples built with TensorFlow
Efficient Image Captioning code in Torch, runs on GPU
Efficient, reusable RNNs and LSTMs for torch
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
Response to Amazon's Bin Image Data Set Challenge. Inventory reconciliation with machine learning: SVMs and CNNs. Research at Stanford University, by: Pablo Rodriguez Bertorello, Sravan Sripada, an…
Configiration files for Terraform Meetup
Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared …
Resources for Learning Python
The statistics short course is both a resource and survey of the areas of probability and statistics that are foundational for the data science immersive at Galvanize.
A sample for IBM Blockchain Platform that demonstrates a vehicle manufacturing use case
Archived - See Hyperledger Aries Cloud Agent - Python
Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry u…
Hyperledger is a Collaborative Project at The Linux Foundation.