Stars
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Minimal effort CLIs derived from type hints and parse from command line, config files and environment variables
Composable kernels for scikit-learn implemented in JAX.
Custom component for HA that enables the creation of scheduler entities
Flax is a neural network library for JAX that is designed for flexibility.
Shairport Sync addon for Home Assistant
Automatically create and sync Home Assistant backups into Google Drive
Deezer source separation library including pretrained models.
torchbearer: A model fitting library for PyTorch
Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
A highly efficient implementation of Gaussian Processes in PyTorch
FC-DenseNet in PyTorch for Semantic Segmentation
Create agents that monitor and act on your behalf. Your agents are standing by!
kueblc / tuya-convert
Forked from ct-Open-Source/tuya-convertA collection of scripts to flash Tuya IoT devices to alternative firmwares
Python binding for Tado web API. Pythonize your central heating!
Raspberry Pi Audio Receiver with Bluetooth A2DP, AirPlay 2, and Spotify Connect
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Google Research
PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
Collection of generative models in Tensorflow
A comprehensive and long list of things a modern scientist is supposed to know


