AW

faust. Python Stream Processing

celerybeat_pickle. Using pickle for scheduling in beats.

pyopencl-examples. Examples for Learning PyOpenCL

pyopencl. OpenCL integration for Python, plus shiny features

computer-science. :mortar_board: Path to a free self-taught education in Computer Science!

compyle. Execute a subset of Python on HPC platforms

awesome-fraud-detection-papers. A curated list of data mining papers about fraud detection.

qiskit-tutorials. A collection of Jupyter notebooks showing how to use the Qiskit SDK

streamz. Real-time stream processing for python

async_client_server. Learning to implement raft from (https://pdos.csail.mit.edu/6.824/schedule.html)

singa. a distributed deep learning platform

bhav_copy. Python

tvm. Open deep learning compiler stack for cpu, gpu and specialized accelerators

dask. Parallel computing with task scheduling

Ordinary_Differential_Equations. Python

scikit-learn. scikit-learn: machine learning in Python

learn. Shell

saiona. Python

numba. NumPy aware dynamic Python compiler using LLVM

18337. 18.337 - Parallel Computing and Scientific Machine Learning

pre-trained-keras-example. Example on how to use pre trained networks on new classification problems.

opencl_learn. Python

RDKafka.jl. Wrapper for librdkafka

mslearn-tailspin-spacegame-web. Code used in Microsoft Learn modules to support Azure DevOps

DeepExperiments. TensorFlow/Keras experiments on computer vision and natural language processing

Kalman-and-Bayesian-Filters-in-Python. Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

Deeplearning. Jupyter Notebook

bayesian-analysis-recipes. A collection of Bayesian data analysis recipes using PyMC3

mindsdb. Framework to streamline use of neural networks

first_keras. Jupyter Notebook

spark-openstack. Scripts to setup Spark cluster (any version) in any Openstack environment with optional useful tools.