Deep Learning

Frameworks for Neural Networks and Deep Learning.

Newest releases

vuejs-translations Vue Community Translation Guidelines If you are interested in starting translation for a new language, please open a thread in the Discussions tab (an
 

frostming Wordle TUI Play WORDLE game in your terminal. The game will be kept the same as the Web version. Prerequisites Python 3.7+ Linux/MacOS (Windows is not
 

jordanwildon Telepathy Welcome to Telepathy, an OSINT toolkit for scraping Telegram data to help investigate shady goings on. Currently, the tool is limited to scr
 

cstjean ScikitLearn.jl implements the popular scikit-learn interface and algorithms in Julia. It supports both models from the Julia ecosystem and those of the scikit-learn library (via PyCall.jl).
 

wildart ManifoldLearning A Julia package for manifold learning and nonlinear dimensionality reduction. Documentation Build Status Methods Isomap Diffusion map
 

hshindo Merlin: deep learning framework for Julia Merlin is a deep learning framework written in Julia. It aims to provide a fast, flexible and compact deep l
 

davidavdav ROCAnalysis.jl Install Pkg.add("ROCAnalysis") Introduction Receiver Operating Characteristic Analysis functions for evaluation probabilistic binary cl
 

davidavdav GaussianMixtures A Julia package for Gaussian Mixture Models (GMMs). This package contains support for Gaussian Mixture Models. Basic training, likeli
 

JuliaStats Multivariate Statistics A Julia package for multivariate statistics and data analysis (e.g. dimensionality reduction). Documentation Stable : http://m
 

JuliaStats NMF.jl A Julia package for non-negative matrix factorization (NMF). Development Status Note: Nonnegative Matrix Factorization is an area of active res
 

EricChiang julia-ann Implementation of backpropagation artificial neural networks in Julia. Install (from within Julia interpreter): Pkg.clone("[email protected]:Er
 

pluskid Update Dec. 2018: Mocha.jl is now deprecated. The latest version works with Julia v0.6. If you have existing legacy codebase with Mocha that you want
 

dmlc XGBoost.jl eXtreme Gradient Boosting in Julia Abstract This package is a Julia interface of XGBoost. It is an efficient and scalable implementation of
 

STOR-i GaussianProcesses.jl A Gaussian Processes package for Julia. This package is still under development. If you have any suggestions to improve the packa
 

JuliaStats GLMNet glmnet is an R package by Jerome Friedman, Trevor Hastie, Rob Tibshirani that fits entire Lasso or ElasticNet regularization paths for linear,
 

JuliaStats Clustering.jl Methods for data clustering and evaluation of clustering quality. Documentation: Installation Pkg.add("Clustering") Features Clustering
 

JuliaStats SVM.jl THIS PACKAGE IS UNMAINTAINED AND WILL BE REMOVED FROM METADATA SVMs in Julia Native Julia implementations of standard SVM algorithms. Currently
 

JuliaStats KernelDensity.jl Kernel density estimators for Julia. Usage Univariate The main accessor function is kde: U = kde(data) will construct a UnivariateKD
 

JuliaStats Distances.jl A Julia package for evaluating distances(metrics) between vectors. This package also provides optimized functions to compute column-wise
 

bensadeghi DecisionTree.jl Julia implementation of Decision Tree (CART) and Random Forest algorithms Available via: AutoMLPipeline.jl - create complex ML pipelin
 

compressed Install Stable Pkg.add("BackpropNeuralNet") Source Pkg.clone("https://github.com/compressed/BackpropNeuralNet.jl.git") Usage To initialize a network o
 

doobwa MCMC Routines in Julia In Bayesian modeling we are often faced with an unnormalized density (e.g. a posterior distribution) that we want to know about
 

brian-j-smith Mamba: Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia julia 1.0: julia 0.6: julia 0.5: julia 0.4: julia 0.3: Purpose Mamba is an open
 

JuliaStats Mixed-effects models in Julia Documentation Citation Build Status Code Coverage This package defines linear mixed models (LinearMixedModel) and genera
 

fredo-dedup SimpleMCMC.jl Small framework for MCMC sampling and maximization on user-defined models Implements : a DSL for specifying models an automatic derivati
 

ljl0012 ExtractingBuildingByMMSeg This repository is for Competition for ML_data class. Based on mmsegmentatoin,mainly using swin transformer to completed the
 

shibbo cttt-decomp A decompilation of the Nintendo Switch version of Captain Toad: Treasure Tracker [v1.3.0]. Build Instructions Obtain a clean copy of a mai
 

rlaphoenix pydvdid-m Pure Python implementation of the Windows API method IDvdInfo2::GetDiscID. This is a modification of sjwood's pydvdid. The Windows API metho
 

mrsnhl Geoinformatics Project 2021 This was created by students of Y19 and Y20 of Civil Engineering Project Mentor Snehil Saluja (170707) Project Members Chi
 

AccSrd [AI6122] Computer Vision is an elective course of MSAI, SCSE, NTU, Singapore. The repository corresponds to the AI6122 of Semester 1, AY2021-2022, starting from 08/2021. The instructor of this course is Prof. Lu Shijian.
 

ttt733 Evolving Neural Networks in JAX This repository holds code displaying techniques for applying evolutionary network training strategies in JAX. Each sc
 

v-p-b Ghidra Check Protector Which non-trivial functions don't reference the stack canary checker (or other, user-defined function)? Place your cursor to th