Awesome List Updates on Aug 27, 2019

9 awesome lists updated today.

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1. Awesome Mac

Developer Tools / API Development and Analysis

• Paw - Advanced HTTP client.

2. Awesome Streaming

Table of Contents / Streaming Engine

• Gearpump (⭐762) [Scala] - lightweight real-time distributed streaming engine built on Akka.

3. Awesome Swift

UI / Barcode

• FlexibleHeader (⭐75) - A container view that responds to scrolling of UIScrollView.

• OverlayContainer (⭐1.2k) - OverlayContainer makes it easier to develop overlay based interfaces, such as the one presented in the Apple Maps or Stocks apps.

Alert / Barcode

• AwaitToast (⭐146) - 🍞 An async waiting toast with basic toast. Inspired by facebook posting toast.

4. Tools

Color

• Image Color Picker

5. Awesome Php

Table of Contents / Content Management Systems (CMS)

• TYPO3 - An enterprise level CMS.

6. Awesome Python Data Science

Machine Learning / General Purpose Machine Learning

• xLearn (⭐3.1k) - High Performance, Easy-to-use, and Scalable Machine Learning Package.

• mlpack (⭐5.4k) - A scalable C++ machine learning library (Python bindings).

• pyGAM (⭐898) - Generalized Additive Models in Python.

Machine Learning / Kernel Methods

• liquidSVM (⭐67) - An implementation of SVMs.

Model Explanation / Others

• Alibi (⭐2.5k) - Algorithms for monitoring and explaining machine learning models.

• anchor (⭐804) - Code for "High-Precision Model-Agnostic Explanations" paper.

• aequitas (⭐725) - Bias and Fairness Audit Toolkit.

• ELI5 (⭐2.8k) - A library for debugging/inspecting machine learning classifiers and explaining their predictions.

• L2X (⭐124) - Code for replicating the experiments in the paper Learning to Explain: An Information-Theoretic Perspective on Model Interpretation.

• PDPbox (⭐860) - Partial dependence plot toolbox.

• PyCEbox (⭐165) - Python Individual Conditional Expectation Plot Toolbox.

• Skater - Python Library for Model Interpretation.

• AI Explainability 360 (⭐1.7k) - Interpretability and explainability of data and machine learning models.

Genetic Programming / Others

• DEAP (⭐6.1k) - Distributed Evolutionary Algorithms in Python.

• monkeys (⭐125) - A strongly-typed genetic programming framework for Python.

Optimization / Others

• Spearmint (⭐1.6k) - Bayesian optimization.

• SMAC3 (⭐1.2k) - Sequential Model-based Algorithm Configuration.

• Optunity (⭐421) - Is a library containing various optimizers for hyperparameter tuning.

• hyperopt (⭐7.4k) - Distributed Asynchronous Hyperparameter Optimization in Python.

• SafeOpt (⭐147) - Safe Bayesian Optimization.

• scikit-optimize (⭐2.8k) - Sequential model-based optimization with a scipy.optimize interface.

• Solid (⭐579) - A comprehensive gradient-free optimization framework written in Python.

• PySwarms (⭐1.3k) - A research toolkit for particle swarm optimization in Python.

• Platypus (⭐615) - A Free and Open Source Python Library for Multiobjective Optimization.

• POT (⭐2.6k) - Python Optimal Transport library.

• Talos (⭐1.6k) - Hyperparameter Optimization for Keras Models.

• nlopt (⭐2.1k) - Library for nonlinear optimization (global and local, constrained or unconstrained).

Statistics / NLP

• scikit-posthocs (⭐369) - Pairwise Multiple Comparisons Post-hoc Tests.

Evaluation / Synthetic Data

• recmetrics (⭐579) - Library of useful metrics and plots for evaluating recommender systems.

• Metrics (⭐1.6k) - Machine learning evaluation metric.

Computations / Synthetic Data

• numpy - The fundamental package needed for scientific computing with Python.

• bottleneck (⭐1.1k) - Fast NumPy array functions written in C.

• CuPy (⭐10k) - NumPy-like API accelerated with CUDA.

• scikit-tensor (⭐406) - Python library for multilinear algebra and tensor factorizations.

• numdifftools (⭐266) - Solve automatic numerical differentiation problems in one or more variables.

• quaternion (⭐637) - Add built-in support for quaternions to numpy.

• adaptive (⭐1.2k) - Tools for adaptive and parallel samping of mathematical functions.

Spatial Analysis / Synthetic Data

• PySal (⭐1.4k) - Python Spatial Analysis Library.

Quantum Computing / Synthetic Data

• QML (⭐205) - A Python Toolkit for Quantum Machine Learning.

Conversion / Synthetic Data

• ONNX (⭐19k) - Open Neural Network Exchange.

• MMdnn (⭐5.8k) - A set of tools to help users inter-operate among different deep learning frameworks.

7. Awesome Actions

GitHub Tools and Management / Docker Container Actions

• Publish GitHub Releases with Assets (⭐4.9k)

Utility / Docker Container Actions

• Debug with SSH over tmate (⭐3.2k) - Debug the Action directly by providing a SSH connection.

8. Awesome Ocaml

Language-related

• Inlined records in constructors

9. Awesome Perl

Commercial WebServices / DSP

• PagerDuty::Agent - A perl PagerDuty client

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