BoostSRLBoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.
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ugtmugtm: a Python package for Generative Topographic Mapping
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Intention-Mining-Intention Mining in Social Networking. It Mines Emotions and polarity for the given keyword . For the keyword it searchers the twitter for the comments and analyzes the results for various events such as Election results, Sports prediction Movie ratings, Breaking news events such as demonetisation and many more. Bayes , Maximum Entropy and Hidde…
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random-fourier-featuresImplementation of random Fourier features for kernel method, like support vector machine and Gaussian process model
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RapLyrics-BackModel training, custom generative function and training for raplyrics.eu - A rap music lyrics generation project
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Innovative-Book-ResourcesThis repository contains books from different topics and perfect enough to give developers a boost in understanding the concepts of Data Science and Artificial Intelligence(other topics are also included but main highlights are these two).
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machine-learning-notebooks🤖 An authorial collection of fundamental python recipes on Machine Learning and Artificial Intelligence.
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spams-pythonA rehost of the python version of SPArse Modeling Software (SPAMS)
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SGDLibraryMATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
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datascience-mashupIn this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.
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pyHSICLassoVersatile Nonlinear Feature Selection Algorithm for High-dimensional Data
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Tf-RecTf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.
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MachineLearningImplementations of machine learning algorithm by Python 3
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AscensionA metaheuristic optimization framework
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koraliHigh-performance framework for uncertainty quantification, optimization and reinforcement learning.
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EAGO.jlA development environment for robust and global optimization
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dfognDFO-GN: Derivative-Free Optimization using Gauss-Newton
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NMPC-DCLF-DCBFA collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
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car-racingA toolkit for testing control and planning algorithm for car racing.
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GALAHADA library of modern Fortran modules for nonlinear optimization
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articulated-pose[CVPR 2020, Oral] Category-Level Articulated Object Pose Estimation
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Pajarito.jlA solver for mixed-integer convex optimization
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jaxfgFactor graphs and nonlinear optimization for JAX
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HashedExpressionType-safe modelling DSL, symbolic transformation, and code generation for solving optimization problems.
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