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gpu-acceleration
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WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
javascript
webgl
machine-learning
typescript
deep-neural-networks
deep-learning
neural-network
gpu-acceleration
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Aug 14, 2019 - TypeScript
Galto2000
commented
Oct 15, 2019
Howdy folks,
GPyTorch provides Gaussian likelihood objects for fixed noise (FixedNoiseGaussianLikelihood) and for multi-task models (MultitaskGaussianLikelihood). I was wondering if someone could provide me some guidance on how to get a fixed noise multi-task Gaussian likelihood?
Thanks in advance
Galto
An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.
javascript
tex
webgl
machine-learning
latex
computer-algebra
data-visualization
scientific-computing
gpu-acceleration
webgl2
symbolic-computation
matrix-library
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Aug 7, 2020 - TypeScript
Emu is a modern library for low-level, cross-platform GPGPU enabling on-device, reproducible, privacy-focused compute
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Apr 23, 2020 - Rust
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
python
data-science
machine-learning
sql
gpu
arrow
artificial-intelligence
gpu-acceleration
sql-engine
conda-environment
machine-learning-workflow
rapids
cudf
rapidsai
blazingsql
gpu-dataframes
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Sep 2, 2020 - C++
A high performance anime upscaler
machine-learning
cpp
anime
computer-graphics
cnn
video-processing
gpu-acceleration
avisynth
vapoursynth
upscaling
directshow-filter
anime4k
anime4kcpp
vapoursynth-plugin
avisynthplus-plugin
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Aug 20, 2020 - C++
GPU-accelerated Deep Learning on Windows 10 native
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Jun 26, 2018 - Python
stdgpu: Efficient STL-like Data Structures on the GPU
cpp
gpu
modern-cpp
cpp14
openmp
cuda
stl
data-structures
gpgpu
gpu-acceleration
cpp17
stl-containers
hip
gpu-computing
rocm
cpp20
stl-like
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Jun 3, 2020 - C++
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
machine-learning
visual-studio
ai
csharp
neural-network
cuda
cnn
supervised-learning
gpu-acceleration
netstandard
convolutional-neural-networks
gradient-descent
net-framework
backpropagation-algorithm
classification-algorithims
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May 1, 2020 - C#
High-performance Bayesian Data Analysis on the GPU in Clojure
machine-learning
clojure
statistics
gpu
opencl
cuda
clojure-library
high-performance-computing
gpu-acceleration
bayesian
gpu-computing
bayesian-inference
mcmc
bayesian-data-analysis
markov-chain-monte-carlo
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Jul 30, 2019 - Clojure
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Aug 19, 2020 - Python
Open-Source CUDA/OpenCL Speed Of Light Ray-tracer
science
graphics-engine
interactive
rendering
vr
opencl
cuda
virtual-reality
gpgpu
raytracer
gpu-acceleration
raytracing
gpu-computing
pathtracing
ray-tracing
3d
raytracing-engine
3d-graphics-engine
path-tracing
realtime-rendering
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Oct 9, 2018 - C++
Automatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX
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Feb 18, 2020 - C++
Vulkan compute for people
boilerplate
framework
gpu
vulkan
glsl
gpgpu
high-performance-computing
gpu-acceleration
gpu-computing
cpp-library
compute
glsl-shaders
vulkan-library
gpu-programming
vulkan-compute-shaders
vulkan-utils
gpgpu-computing
vulkan-compute
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Sep 1, 2020 - C++
Deep learning toolkit-enabled VLSI placement
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Aug 27, 2020 - C++
GPU-accelerated Levenberg-Marquardt curve fitting in CUDA
curve-fitting
levenberg-marquardt
gpu-acceleration
gpu-computing
super-resolution
non-linear-regression
gpu-programming
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Jul 12, 2020 - C++
Clojure library for CUDA development
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Jul 28, 2020 - Clojure
Vahana VR & VideoStitch Studio: software to create immersive 360° VR video, live and in post-production
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Aug 5, 2020 - C++
Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
monte-carlo
particle-filter
gpu-acceleration
monte-carlo-simulation
probability-distributions
robust-optimization
gpu-computing
physical-quantities
uncertainty-propagation
error-propagation
numeric-types
uncertainties
monte-carlo-sampling
error-analysis
uncertainty-sampling
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Aug 21, 2020 - Julia
Python library for Room Impulse Response (RIR) simulation with GPU acceleration
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Feb 24, 2020 - Cuda
R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
machine-learning
r
timeseries
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anomaly-detection
market-basket-analysis
catboost
nonlinear-regression
cost-sensitive-classification
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Aug 31, 2020 - R
HyperFormula is a high-performance, spreadsheet-like calculation engine for web applications ⚡
formula
parser
performance
crud
typescript
graph
evaluator
gpu-acceleration
calculation-engine
smart-documents
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Sep 2, 2020 - TypeScript
Fast Neural Machine Translation in C++ - development repository
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Sep 3, 2020 - C++
GammaCV is a WebGL accelerated Computer Vision library for browser
webgl
machine-learning
computer-vision
image-processing
feature-extraction
gpu-acceleration
object-detection
image-analysis
feature-engineering
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Sep 1, 2020 - JavaScript
Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
machine-learning
deep-learning
dynamic
python3
pytorch
neural-networks
gpu-acceleration
spiking-neural-networks
gpu-computing
stdp
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Jul 19, 2020 - Python
Deep.Net machine learning framework for F#
machine-learning
deep-learning
fsharp
dotnet
gpu
cuda
gpu-acceleration
ndarray
tensor
gpu-computing
differentiation
symbolic-computation
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Jun 25, 2019 - F#
Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.
neural-network
tensorflow
gpu
word2vec
word-embeddings
gpu-acceleration
gpu-tensorflow
cosine-similarity
glove
glove-embeddings
tensorflow-layers
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Oct 13, 2018 - Jupyter Notebook
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Jul 20, 2020 - C++
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Reference from TensorFlow: https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/matrix-band-part
This op is used by the Music Transformer model.