Merlin
github.com
Flexible Deep Learning Framework in Julia.
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GitHub-проекты
Своё развёртывание
Flexible Deep Learning Framework in Julia.
Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers.
Large scale Gaussian Mixture Models.
Julia implementation of the scikit-learn API.
Koç University Deep Learning Framework.
A Julia machine learning framework.
Multidimensional cluster generation in Julia.
TopicModels for Julia. [Deprecated]
Julia package for text analysis.
Tokenizers for Natural Language Processing in Julia
A Julia package providing a variety of loaders for various NLP corpora.
Functions and data dependencies for loading various word embeddings
Julia package for working with various human languages
A Julia package for Princeton's WordNet
Graph layout algorithms in pure Julia.
Graph modelling and analysis.
Metaprogramming tools for DataFrames.
library for working with tabular data in Julia. [Deprecated]
Read files from Stata, SAS, and SPSS.
Hypothesis tests for Julia.
Crafty statistical graphics for Julia.
Statistical tests for Julia.
Julia package for loading many of the data sets available in R.
library for working with tabular data in Julia.
A Julia package for probability distributions and associated functions.
Data structures that allow missing values. [Deprecated]
Time series toolkit for Julia.
Basic sampling algorithms for Julia.
Digital Signal Processing (filtering, periodograms, spectrograms, window functions).
Presentations for JuliaCon.
An image library for Julia.
Reproducible data setup for reproducible science.
Deep learning framework written in Kotlin.
On-device streaming speech recognition SDK for Android with Kotlin bindings (JitPack). Based on NVIDIA NeMo FastConformer (80 ms cache-aware lookahead). Companion Silero VAD, wake-word, and 14-command KWS via same runtime.
Cephes mathematical functions library, wrapped for Torch. Provides and wraps the 180+ special mathematical functions from the Cephes mathematical library, developed by Stephen L. Moshier. It is used, among many other places, at the heart of SciPy. [Deprecated]
Autograd automatically differentiates native Torch code. Inspired by the original Python version.