A tool for semi-automatic cell type classification
- python
- single-cell
- machine-learning
- scrna-seq
47,133 repositories indexed
265–288 of 360 · Most stars
A tool for semi-automatic cell type classification
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
TranslatedDeepSeek's built-in jailbreak 18+ interactive narrative: lifelike NPCs (autonomous decision-making / refusing to pander), 211 worlds and over 10,000 materials, freely customizable openings, a self-running world, zero-drift saves.
Tools for computational pathology
Software for the AxiDraw drawing machine
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
:hospital: Medical Text Mining and Information Extraction with spaCy
An application for controlling 2D plotters, cutters, engravers, and CNC machines.
Image quality is an open source software library for Image Quality Assessment (IQA).
ilastik-shell, applets, and workflows to string them together.
🎆 A visualization of the CapsNet layers to better understand how it works
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
Model extraction attacks on Machine-Learning-as-a-Service platforms.
NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
Maze Applied Reinforcement Learning Framework
TranslatedCNN | Keras/PyTorch | CAPTCHA recognition
Descriptor computation(chemistry) and (optional) storage for machine learning
Bayesian Optimization using GPflow
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
Ferry lets you define, run, and deploy big data applications on AWS, OpenStack, and your local machine using Docker