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Python Library for Probabalistic Programming (Bayesian Inference and Machine Learning).

A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.

Helps find, analyze or synthesize information for research and knowledge discovery.

Tutorial on Python time-series model deployment.

Restricted Boltzmann Machines in Python. [DEEP LEARNING].

Deep learning based facial detector for Python coming with facial landmarks.

Blazing fast short-text-topic-modelling for Python.

Open-source Python library enabling ML model inspection and interpretation.

An open source Python library focused on outlier, adversarial and drift detection.

A simple, but essential Bayesian optimization package, written in Python.

Python bindings for the BLLIP natural language parser.

Codeflash uses AI to automatically find the most optimized version of your Python code through benchmarking — while verifying it's correct.

Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.

A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

DLib has C++ and Python interfaces for face detection and training general object detectors.

Python library for scalable Bayesian optimisation.

Python library for experiment metrics logging into simply formatted local files.

Face recognition library that recognizes and manipulates faces from Python or from the command line.

Python library for automated feature engineering.

Python distributed computing library for modern computer clusters.

Easy-to-use and flexible AutoML library for Python.

Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.

Distributed Asynchronous Hyperparameter Optimization in Python.