Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
Repository Index
47,133 repositories indexed
1,345–1,368 of 3,521 · Most stars
A set of documented functions for simulating the performance of photovoltaic energy systems.
- solar-energy
- python
- renewable-energy
- renewables
tensorflow implementation of 'YOLO : Real-Time Object Detection'
Painlessly create beautiful matplotlib plots.
Fbone (Flask bone) is a Flask (Python microframework) starter/template/bootstrap/boilerplate application.
A distributed task scheduler for Dask
- pydata
- dask
- distributed-computing
- python
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
- healthcare
- data-mining
- deep-learning
- preprocessing
[UNMAINTAINED] A goal, task & habit tracker + personal dashboard to focus on what matters
- quantified-self
- personal-data
- habit-tracking
- reactjs
SQL Lineage Analysis Tool powered by Python
- data-discovery
- data-lineage
- lineage
- metadata
rsatool can be used to calculate RSA and RSA-CRT parameters
🔗 Don't know what type of hash it is? Name That Hash will name that hash type! 🤖 Identify MD5, SHA256 and 300+ other hashes ☄ Comes with a neat web app 🔥
TranslatedDSH × Blender direct-connect plugin v3.0.6: 15 model tools that let AI drive the GUI Blender (viewport / custom viewpoints / headless worker / job layer / transaction rollback / recipe library), with a contract layer of 34 families / 228 ops; installed via npm + addon zip, GUI first, headless as backup; dsh-TUI selected chip / @ mention / /blender, a modeling skill bundled with the package, supports WSL / Windows / macOS.
Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.
- agents
- calibration
- classification
- decision-making
1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Hyper-parameter optimization for sklearn
Human Programming Interface 🧑👽🤖
- quantified-self
- extended-mind
- personal-api
- lifelogging
ASGI specification and utilities
Hyperparameter Experiments with TensorFlow and Keras
- deep-learning
- keras
- keras-tensorflow
- hyperparameter-optimization
Python implementations of the Boruta all-relevant feature selection method.
Cartopy - a cartographic python library with matplotlib support
- cartopy
- matplotlib
- python
- geometry
Independent set of GDScript tools - parser, linter, formatter, and more
Fake Protocol Server
A boilerplate for Django web applications