Experiment Libraries

18 Components & Libraries

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Experiment Libraries

🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.

PostHog is available with hosting in the EU or US and is fully SOC 2 compliant. It's free to get started and comes with a generous monthly free tier: We're constantly adding new features, with web an…

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Get started with W&B in four steps: That's it! Navigate to the W&B App to view a dashboard of your first W&B Experiment. Use the W&B App to compare multiple experiments in a unified…

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Aim is an open-source, self-hosted ML experiment tracking tool designed to handle 10,000s of training runs. Aim provides a performant and beautiful UI for exploring and comparing training runs. Addit…

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production models. Flexible integration for any Python script: Build …

Machine Learning automation and tracking

MLRun is an open MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the del…

learn code with tensorflow

MLP for mnist done test on 102flowers done command like this: test on MLP model on mnist done In folder finetuning, we use tf.slim to finetuning the pretrain model (I use the same method in my porn d…

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Automatically save and learn from Experiment results, leading to long-term, persistent optimization that remembers all your tests. HyperparameterHunter provides a wrapper for machine learning algorit…

Visualise your Kedro data and machine-learning pipelines and track your experiments.

There are two ways you can use Kedro-Viz: To install Kedro-Viz as a Kedro plugin: As a standalone React component (for embedding Kedro-Viz in your web application). To install the standalone React c…

LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.

Note you need version 9.4+. Clone the repository: Enter the directory and install labnotebook locally: Once you've installed the package, you can run the following command on your database url to sta…

Open-source Python library for statistical analysis of randomised control trials (A/B tests)

The data structures and functionality of ExpAn are generic such that they can be used by both data scientists optimizing a user interface and biologists running wet-lab experiments. The library is al…

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

RL Algorithms implemented in Python for the task of global path planning for mobile robot. Such system is said to have feedback. The agent acts on the environment, and the environment acts on the age…

Design-of-experiment (DOE) generator for science, engineering, and statistics

It uses a MIT License, so although I retain the copyright of this particular code, please feel free to exercise your rights of the free software by using and enhancing it. All the design schemes, men…

EEG-Motor-Imagery-Classification-CNNs-TensorFlow

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

Meanwhile, the codes in this repository are based on the raw EEG data without the ESI and JTFA process, and can also achieve a good result. The main CNNs Tensorflow framework codes in the "MI_Propose…

Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design

This repository contains all the lectures and workshop materials for the workshop conducted during March-April 2020. The goal of this workshop is to teach the basics of different technical skills nee…

TensorFlow-Multiclass-Image-Classification-using-CNN-s

Balanced Multiclass Image Classification with TensorFlow on Python.

It is a ready-to-run code. No MNIST or CIFAR-10. This is a repository containing datasets of 5200 training images of 4 classes and 1267 testing images.No problematic image. Just extract files from mu…

Vimana is an experimental security framework that aims to provide resources for auditing Python web applications.

Vimana is a modular security framework designed to audit Python web applications using different and sometimes uncommon approaches. Lately, Vimana is walking to its maturity while a Framework with a …

Audio Classification using Image Classification

AudioNet is an opensource experiment done using tensorflow and Google's Inception model. What we are doing here inAudioNet is, we are converting audio files to spectrograms. Then we are trainning the…

Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project

Valentyn N Sichkar. Neural Networks for computer vision in autonomous vehicles and robotics // GitHub platform. DOI: 10.5281/zenodo.1317904 Valentyn N Sichkar. Neural Networks for computer vision in …

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