Awesome Open Source

Programming Languages

Search results for testing machine learning

machine-learning x

37 search results found

Deepmoji ⭐ 1,462

State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

Torchmoji ⭐ 882

😇A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc

Liualgotrader ⭐ 561

Framework for algorithmic trading

A Python implementation of RAISR

Testing framework to simplify writing ML unit tests.

Split Folders ⭐ 330

🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders

Mastering Machine Learning For Penetration Testing ⭐ 280

Mastering Machine Learning for Penetration Testing, published by Packt

An open-source toolkit for large-scale genomic analysis

Kernel_tuner ⭐ 236

A language server for Standard ML.

Vision Ui ⭐ 151

视觉UI分析工具

Testing Ml ⭐ 150

🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.

Torchtest ⭐ 146

Unit Testing for pytorch, based on mltest

Poptorch ⭐ 144

PyTorch interface for the IPU

Lynxkite ⭐ 132

The complete graph data science platform

Guildsman ⭐ 125

TensorFlow library for Clojure

AI based fuzzer based on imitation learning

Leaf Question Generation ⭐ 119

Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.

Sagemaker Xgboost Container ⭐ 109

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

C++ framework for realtime machine learning.

Findfaceinvideo ⭐ 84

This is a Deep Learning practice Demo which can find person in the video by human face.人脸识别的小demo，通过待识别的人脸图像在视频影像中找人。

Methods2test ⭐ 79

methods2test is a supervised dataset consisting of Test Cases and their corresponding Focal Methods from a set of Java software repositories

Facies_classification_benchmark ⭐ 78

The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (published in the SEG Interpretation Journal, August 2019).

Nokia Book ⭐ 76

NOKIA Book covers selected aspects of the telecommunication industry programmer's work

Qgate Model ⭐ 70

The machine learning meta-model with synthetic data (useful for MLOps/feature store), part of the quality gateway concept.

Deepcite ⭐ 67

Traversing links to find the deep source of information

Tutorial ⭐ 63

Tutorial on Bayesian tests for Machine Learning

Library for automatic unit testing of Standard ML modules

Relationnetworks Clevr ⭐ 60

A pytorch implementation for "A simple neural network module for relational reasoning", working on the CLEVR dataset

Ml Testing Accelerators ⭐ 58

Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)

Qgate Sln Mlrun ⭐ 53

The quality gate for testing MLRun/Iguazio solution.

Interpretable Test ⭐ 44

NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.

Ml Datasets ⭐ 39

🌊 Machine learning dataset loaders for testing and example scripts

Python Developer Roadmap ⭐ 38

Roadmap for becoming Python developer.

Python client for Kolena's machine learning testing platform

Cnn Seq2seq ⭐ 37

Adversarial Vision Challenge ⭐ 36

NIPS Adversarial Vision Challenge

Awesome Ml Testing ⭐ 34

Awesome material(papers, tools, etc.) about testing machine learning system, including deep learning system.

Nostradamus ⭐ 30

🧠 An open-source machine learning application for analyzing software defect reports extracted from bug tracking systems.

Vimux with Elixir Mix Integration

Audio_steganalysis_ml ⭐ 27

Audio steganalysis based on traditional handcrafted features design.

Test Data Generation ⭐ 27

Test Data Generation

Plinycompute ⭐ 27

A system for development of high-performance, data-intensive, distributed computing, applications, tools, and libraries.

An API-first distributed deployment system of deep learning models using timeseries data to predict the behaviour of systems

Stockdataprocessing ⭐ 24

Stock data analysis

Simple multilayer perceptron c++ implementation.

A B Testing With Machine Learning ⭐ 22

Implemented an A/B Testing solution with the help of machine learning

Gbm Tune ⭐ 21

Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions

deep learning and scientific computing framework with native CPU and GPU backend for the Scala programming language

Kendra Button ⭐ 20

Custom search engine using Kendra

Coriander Dnn ⭐ 19

Partial implementation of NVIDIA® cuDNN API for Coriander, OpenCL 1.2

Contactless Attendance System ⭐ 18

✨ A Contactless Attendance System where your face is identified for Attendance.

Classifier Pipeline ⭐ 18

Exports tracked animals through thermal vision.

Sang-Wook's Development and Testing (SWDT)

Relation Network Pytorch ⭐ 17

Implementation of Relation Network and Recurrent Relational Network using PyTorch v1.3. Original papers: (RN) https://arxiv.org/abs/1706.01427 (RRN): https://arxiv.org/abs/1711.08028

Angular Autodraw ⭐ 17

An Angular app integrating Google's AutoDraw AI API through Canvas

Quantgov ⭐ 17

The QuantGov Library

Tflite Tester ⭐ 15

Example project showing how we can compare TensorFlow and TensorFlow Lite models

Fsic Test ⭐ 15

ICML 2017. Kernel-based adaptive linear-time independence test.

Streamlit Jmeter ⭐ 14

Powering up Apache JMeter with Streamlit and opening the door for machine learning.

Unit testing for Standard ML of New Jersey (SML/NJ) lol

Mercury Robust ⭐ 12

mercury-robust is a framework to perform robust testing on ML models and datasets. It provides a collection of test that are easy to configure and helpful to guarantee robustness in your ML processes.

Automatic Clustering Via Outward Statistical Testing On Density Metrics ⭐ 12

This algorithm proposes a new clustering algorithm that can detect the clustering centers automatically via statistical testing.

Dimsense ⭐ 12

DimSense: Empower your machine learning projects with advanced feature selection and extraction techniques. Streamline dimensionality reduction and boost model performance. Your go-to toolkit for intelligent data dimension management.

Etude Engine ⭐ 11

ETUDE (Evaluation Tool for Unstructured Data and Extractions) is a Python-based tool that provides consistent evaluation options across a range of annotation schemata and corpus formats

🤖 ML algorithms implemented from scratch and provided block by block

Chemselml ⭐ 10

A trivial demo of chemical regioselectivity prediction via machine learning

Nnetsauce ⭐ 10

Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)

Study 09 Machinelearning A ⭐ 10

With some projects to develop "TOOLs" for better Modeling

Code for TeCo: an ML+Execution model for test completion

Confound_prediction ⭐ 10

Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.

Ztm Python Notes ⭐ 9

📓 Notes from Complete Python Developer in 2022: Zero to Mastery.

Castor_krfe ⭐ 9

Alignment-free method to identify and analyse discriminant genomic subsequences within pathogen sequences

Stock Price Predictor ⭐ 9

Building an LSTM Recurrent Neural Network for Predicting Stock Market Prices.

An increasingly intelligent method to test RH Satellite.

Open source Cloud Framework for exposing scalable Machine-Learning-as-a-Service implementation

C4a_activity_recognition ⭐ 8

Activity recognition for the City4Age project

Coursera Ml005 Unittests ⭐ 7

Formal unit tests for Coursera Machine Learning ml-005

Standard ML library for 2d drawing

Aequitas, a directed fairness testing framework machine learning models.

Mhsma Dataset ⭐ 7

MHSMA: The Modified Human Sperm Morphology Analysis Dataset

Data and PyTorch code for the LifeQA LREC 2020 paper.

Predicting Survival On Titanic With Machine Learning And Graphical User Interface ⭐ 6

This program consists of clean and polished Graphical User Interface (GUI) that interacts with 8 Machine Learning models and data visualization tools through the use of different Python libraries. The user can interact with the GUI through selecting which model to run on the testing data on, which then takes them to a screen displaying the prediction results of the testing data as well as the general model accuracy. The screen also includes various buttons that, when selected, display complex an

Autoautoml ⭐ 6

Computational experiments for the paper "A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost" (IJCNN 2021)

Cp317 Project Green Thumb ⭐ 6

The repository for the Green Thumb group for CP317

🧪 Behavioral testing of NLP models 🧪

The code for MetaLDA in ICDM 2017

Sagemaker Rightline ⭐ 6

A Python package that eases validation of properties of a SageMaker Pipeline object.

Giskard Doc ⭐ 6

Giskard public documentation on GitBook 📗

Nitw_pg_solutions ⭐ 5

Post Graduate Program in Artificial Intelligence and Machine Learning from NIT Warangal

Mnist_svm ⭐ 5

SVM CLASSIFIER ON MNIST DATASET

Miscellaneous Statistical/Machine Learning stuff (currently Python & R)

Softengcartoonify ⭐ 5

COE 505 Software Engineering Project (Fullstack, Flask, HTML, CSS, JS, Postgres)

Multiple Model Ensembling

Automated Deep learning & Machine Learning in JavaScript, in browser locally or in node.

Related Searches

Command Line Testing (21,674)

Javascript Testing (21,651)

Testing Angular (21,473)

Python Machine Learning (14,099)

Jupyter Notebook Machine Learning (12,247)

Python Testing (9,499)

Java Testing (7,064)

Machine Learning Neural Network (4,397)

Machine Learning Tensorflow (4,050)

Ruby Testing (4,020)

1-37 of 37 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.