Metric learning algorithms in Python
- python
- metric-learning
- scikit-learn
- machine-learning
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Metric learning algorithms in Python
gradslam is an open source differentiable dense SLAM library for PyTorch
Extra blocks for scikit-learn pipelines.
3,516 curated Figure 1 / teasers from ICLR, ICML, NeurIPS, CVPR, ACL, AAAI (2023-2026), with tier badges and FigureForge retrieval-augmented figure drafting
A research toolkit for particle swarm optimization in Python
Translated"Jieba" (Chinese for "to stutter") Chinese text segmentation: built to be the best PHP Chinese word segmentation module.
The most accurate natural language detection library for Go, suitable for short text and mixed-language text
Owl - OCaml Scientific Computing @ https://ocaml.xyz
Declarative Intent Driven Platform Orchestrator for Internal Developer Platform (IDP).
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
Hopsworks - Data-Intensive AI platform with a Feature Store
Instructional notebooks on music information retrieval.
Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.
Scalable machine 🤖 learning for time series forecasting.
DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Earth observation processing framework for machine learning in Python
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
NFStream: a Flexible Network Data Analysis Framework.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Portfolio optimization with deep learning.
GRASS - free and open-source geospatial processing engine
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
PySpark + Scikit-learn = Sparkit-learn