Komputation @komputation
Komputation is a neural network framework for the JVM written in Kotlin and CUDA C. komputation.com Joined June 2017-
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awesome-ai-services: An overview of the AI-as-a-service landscape with Kotlin and Java code examples. github.com/sekwiatkowski/… #kotlin #java #jvm #ai #machinelearning #saas #amazon #google #microsoft #ibmwatson
Komputation v0.12.5: - Switched CUDA development to #CLion - Fixed comparisons in binary testing kernel - No more header specifications in kernel instructions - Replaced double constants w/ floats github.com/sekwiatkowski/… #NeuralNetworks #MachineLearning #AI #Kotlin #Java #CUDA
Please consider upvoting the following issue (and/or giving the project a star on Github :-)) if you would like to support the development of Komputation: youtrack.jetbrains.com/issue/CPP-7683 Thanks!
We're happy to announce that KotlinConf 2018 is a go! Dates, location (where will it be?) and call for papers will follow soon. Stay tuned!
I'm moving the CUDA C code over to #CLion. How can I disable this inspection? I can't find the suggested "Array issues" options in the inspection settings.
What's the best setup for a mixed Kotlin/C project using #JetBrains products? #IntelliJ alone? IntelliJ + #CLion?
Komputation v0.12.4: - GPU-accelerated recurrent networks can now emit output at each step or at the last step only. - Added a CUDA version of the fixed-length total demo - Reorganized header files github.com/sekwiatkowski/… #Kotlin #Java #NeuralNetworks #MachineLearning #AI #CUDA
Komputation v0.12.3: - (Experimental, fixed-length, left-to-right, vanilla) GPU-accelerated recurrent neural networks - Fixed memory allocation in CUDA squared loss function - CUDA helper functions github.com/sekwiatkowski/… #Kotlin #Java #NeuralNetworks #MachineLearning #AI #CUDA
Komputation v0.12.2: - Removed zero initial state projection - Covariance to support IntMatrix & FloatMatrix as input - Overloaded predict method for batches - Freed up resources in CUDA TREC demos github.com/sekwiatkowski/… #Kotlin #Java #NeuralNetworks #MachineLearning #AI #CUDA
Komputation v0.12.1 is out! - GPU-accelerated stacking of layers - Deterministic sequence of gradient summations in the CUDA lookup layer - Max-pooling layer works independent of the expansion layer github.com/sekwiatkowski/… #Kotlin #Java #NeuralNetworks #MachineLearning #AI #CUDA
The Christmas release of Komputation (v0.12) is out! Neural networks are now easier to define. The example below instantiates a GPU-accelerated convolutional network w/ embeddings, ReLU & dropout: github.com/sekwiatkowski/… #Kotlin #Java #NeuralNetworks #MachineLearning #AI #CUDA
Working on GPU-accelerated recurrent neural networks ...
Thank you for 200 stars on Github! github.com/sekwiatkowski/… #Kotlin #Java #NeuralNetworks #MachineLearning #AI
Komputation v0.11.3: - Simplified instructions for bidirectional recurrent layers and concatenation layers - Hello world-style demos of stacked and bidirectional recurrent neural nets Github: github.com/sekwiatkowski/… #Kotlin #Java #NeuralNetworks #MachineLearning #AI
Komputation v0.11.2: - Rewrote the recurrent layer, fixed backpropagation, simplified the choice b/w output at all steps and the last step - Various refactorings - Sequence labeling toy problem Github: github.com/sekwiatkowski/… #Kotlin #Java #NeuralNetworks #MachineLearning #AI
This is a great presentation and an important contribution to the small but growing Kotlin data science community! Thank you for mentioning Komputation, @thomasnield9727! youtube.com/watch?v=J8GYPG…
I gave an introduction to machine learning to a student group in Vienna on Saturday. Here is the slide deck: …-to-machine-learning.s3.amazonaws.com/171111%20Intro…
Komputation v0.11.1: testing support for binary classification problems: github.com/sekwiatkowski/… #Kotlin #Java #MachineLearning #AI
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