ypopkov's Stars
onnx/sklearn-onnx
Convert scikit-learn models and pipelines to ONNX
scikit-learn-contrib/category_encoders
A library of sklearn compatible categorical variable encoders
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
scailable/sclblonnx
Scailable ONNX python tools
microsoft/onnxruntime-extensions
onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
sdpython/mlprodict
Productionize machine learning predictions, with ONNX or without
plotly/dash
Data Apps & Dashboards for Python. No JavaScript Required.
MrPowers/bebe
Filling in the Spark function gaps across APIs
manujosephv/pytorch_tabular
A standard framework for modelling Deep Learning Models for tabular data
jbesomi/texthero
Text preprocessing, representation and visualization from zero to hero.
databricks/koalas
Koalas: pandas API on Apache Spark
jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
DoubleML/doubleml-for-py
DoubleML - Double Machine Learning in Python
pykeen/pykeen
🤖 A Python library for learning and evaluating knowledge graph embeddings
optuna/optuna
A hyperparameter optimization framework
grok-ai/nn-template
Generic template to bootstrap your PyTorch project.
sdv-dev/SDV
Synthetic data generation for tabular data
onnx/onnxmltools
ONNXMLTools enables conversion of models to ONNX
oneapi-src/oneDAL
oneAPI Data Analytics Library (oneDAL)
Neuraxio/Neuraxle
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
combust/mleap
MLeap: Deploy ML Pipelines to Production
deepjavalibrary/djl
An Engine-Agnostic Deep Learning Framework in Java
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
sktime/sktime
A unified framework for machine learning with time series
oracle/tribuo
Tribuo - A Java machine learning library
cjolowicz/hypermodern-python
Hypermodern Python
cortexlabs/cortex
Production infrastructure for machine learning at scale
binhnguyennus/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding