Topic: parameter-tuning Goto Github
Some thing interesting about parameter-tuning
Some thing interesting about parameter-tuning
parameter-tuning,A simple bidirectional LSTM Classifier to classify sentiments on a text. Hyperparameter tuning is done using Randomized CV Search to find best parameters for the deep learning model.
User: adirthaborgohain
parameter-tuning,Automated modeling and machine learning framework FEDOT
Organization: aimclub
Home Page: https://fedot.readthedocs.io
parameter-tuning,Framework of intelligent optimization methods iOpt
Organization: aimclub
Home Page: https://iopt.readthedocs.io
parameter-tuning,A Python Toolkit for Managing a Large Number of Experiments
Organization: amiithinks
parameter-tuning,Tuning of parameters of ML algorithms to optimise precision/f-score for fault detection in softwares
User: arjunrajpal
parameter-tuning,The iraceplot package allows to plot configuration data obtained by configuration process performed by the irace configurator.
Organization: auto-optimization
Home Page: https://auto-optimization.github.io/iraceplot/
parameter-tuning,Hyperparameter optimization in Julia.
User: baggepinnen
parameter-tuning,Automatic sklearn parameter tuning with bio-inspired algorithms
User: caiocarneloz
parameter-tuning,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
User: cerlymarco
parameter-tuning,Swarming behaviour is based on aggregation of simple drones exhibiting basic instinctive reactions to stimuli. However, to achieve overall balanced/interesting behaviour the relative importance of these instincts, as well their internal parameters, must be tuned. In this project, you will learn how to apply Genetic Programming as means of such tuning, and attempt to achieve a series of non-trivial swarm-level behaviours.
User: cheejyg
parameter-tuning,(Deprecated) Scikit-learn integration package for Apache Spark
Organization: databricks
parameter-tuning,The application of machine learning techniques (such as linear regression) to classify a frequency filter from its spectrum
User: delsquared
parameter-tuning,MPS-APO is a rapid and automatic parameter optimizer for multiple-point geostatistics
User: ehsanbaninajar
parameter-tuning,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Organization: epistasislab
Home Page: http://epistasislab.github.io/tpot/
parameter-tuning,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Organization: epistasislab
Home Page: https://epistasislab.github.io/tpot2/
parameter-tuning,Machine Learning Project using Kaggle dataset
User: eswar3
Home Page: https://www.kaggle.com/c/zillow-prize-1
parameter-tuning,MATLAB simulation of a BPSK data transmission system with AWGN channel, and its benchmark against BER(SNR).
User: etfovac
Home Page: https://etfovac.github.io/bpsk-ber/
parameter-tuning,Robustness of DWT vs DCT is graded based on the quality of extracted watermark. The measure used is the Correlation coefficient (0-100%).
User: etfovac
Home Page: https://etfovac.github.io/watermark/
parameter-tuning,An abstraction layer for parameter tuning
Organization: fugue-project
parameter-tuning,The performance of SVR models highly depends upon the appropriate choice of SVR parameters. Here, different metaheuristic algorithms are used to tune the hyperparameters.
User: ghimohammadr
parameter-tuning,A simple JavaScript library implementing the Bat Algorithm for optimization problems.
User: guillaume-giannantonio
parameter-tuning,Alchemy Cat ββ π₯Config System for SOTA
User: hal-42
Home Page: https://github.com/HAL-42/AlchemyCat
parameter-tuning,Online Hackathons/Competitions
User: harsh1795
parameter-tuning,Hyperparameter selection of one-class support vector machine by self-adaptive data shifting
User: homarques
parameter-tuning,The goal of this project is to design a classifier to use for sentiment analysis of product reviews. Our training set consists of reviews written by Amazon customers for various food products. The reviews, originally given on a 5 point scale, have been adjusted to a +1 or -1 scale, representing a positive or negative review, respectively.
User: hotaki-lab
parameter-tuning,:zap: Fast Concurrent / Parallel Sorting in Go
User: jfcg
parameter-tuning,Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
User: kennedyczar
parameter-tuning,Globally Safe Model-free Exploration of Dynamical Systems
Organization: lasgroup
parameter-tuning,Bayesian Optimisation for Parameter Tuning of the XOR Neural Network
User: lawrencemmstewart
parameter-tuning,a library to tune xgboost models
User: mainro
parameter-tuning,Automated parameter tuning with deep reinforcement learning
User: maiwen
parameter-tuning,The project has text vectorization, handling big data with merging and cleaning the text and getting the required columns while boosting the performance by feature extraction and parameter tuning for NN, compares the Performances through applied different models treating the problem as classification and regression both.
User: mansipatel2508
Home Page: https://colab.research.google.com/drive/1q5rvPOO8DvD8DV5DNLMVc8UDY7ntWHah
parameter-tuning,Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysis.
User: nikhilathota
parameter-tuning,π CNN Parameter Tuning for Rocket Landing system - Coursework of Computation Intelligence at Napier University
User: omonimus1
parameter-tuning,Purely functional genetic algorithms for multi-objective optimisation
Organization: openmole
parameter-tuning,Workflow engine for exploration of simulation models using high throughput computing
Organization: openmole
Home Page: https://openmole.org/
parameter-tuning,Codes and templates for ML algorithms created, modified and optimized in Python and R.
User: rudrajit1729
parameter-tuning,LAMA - automatic model creation framework
Organization: sberbank-ai-lab
parameter-tuning,It is a Problem Which I got During the ZS Data Science Challenge From Interview Bit Hiring Challenge Where I secured a 40th Rank out of 10,000 Students across India. It is a Dataset which requires Intensive Cleaning and Processing. Here I have Performed Classification Using Random Forest Classifier and Used Hyper Tuning of the Parameters to achieve the Accuracy. I got a very Satisfiable Accuracy from the Model in both the Training and Testing Sets.
User: sharmaroshan
parameter-tuning,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
User: simonblanke
Home Page: https://simonblanke.github.io/hyperactive-documentation
parameter-tuning,Algorithm Configuration Visualizations for irace!
User: souzamarcelo
parameter-tuning,Trying PostgreSQL parameter tuning using machine learning.
User: ssl-oyamata
parameter-tuning,An RShiny dashboard for visualisation of mass spectrometry (MS) data and fine-tuning of xcms pre-processing parameters
User: tkimhofer
Home Page: https://tkimhofer.github.io/msbrowser/
parameter-tuning,Automatic Tuning for Post-Quantum Cryptography on CUDA, based on MLWE problems.
User: tono-satolab
parameter-tuning,Learning simulation parameters from experimental data, from the micro to the macro, from laptops to clusters.
Organization: uob-positron-imaging-centre
Home Page: https://coexist.readthedocs.io/en/latest/
parameter-tuning,:herb: Introduce surrogate based-optimization beside evolutionary algorithms that can significantly influence on the effort being spent for multi-objective parameter tuning
User: valavanca
Home Page: https://valavanca.github.io/compositional-system-for-hyperparameter-tuning/
parameter-tuning,This classifiers the gender of the person speaking in the singular audio file using Artificial Neural Networks
User: vshantam
parameter-tuning,a case study on deep learning where tuning simple SVM is much faster and better than CNN
User: weifoo
parameter-tuning,Online selection hyper-heuristic with generic parameter control in low-level heuristics (meta-heuristic).
User: yevheniisemendiak
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