opencl
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Open deep learning compiler stack for cpu, gpu and specialized accelerators
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Apr 25, 2022 - Python
how to use gui in the AidLearning?how to custom the gui?
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
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Apr 16, 2022 - C++
Current implementation of join can be improved by performing the operation in a single call to the backend kernel instead of multiple calls.
This is a fairly easy kernel and may be a good issue for someone getting to know CUDA/ArrayFire internals. Ping me if you want additional info.
As of 00e1f52cf95c16b0cea34c83372145532b4745ba the LWJGL codebase has a new directory layout. This has broken the included Eclipse project.
oneAPI Deep Neural Network Library (oneDNN)
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Apr 25, 2022 - C++
The Open Toolkit library is a fast, low-level C# wrapper for OpenGL, OpenAL & OpenCL. It also includes windowing, mouse, keyboard and joystick input and a robust and fast math library, giving you everything you need to write your own renderer or game engine. OpenTK can be used standalone or inside a GUI on Windows, Linux, Mac.
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Apr 19, 2022 - C#
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
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Mar 29, 2022 - C++
In order to test manually altered IR, it would be nice to have a --skip-compilation flag for futhark test, just like we do for futhark bench.
Summary
After closing a GLFW rendering window GLFW ande some referenced objects remain in memory.
Steps to reproduce
- Platform: Desktop
- Framework Version: .NET 5
- API: OpenGL
- Run the code from 'Tutorial 1.1 - Hello Window' in the debugger with a breakpoint on the closing brace of Main.
- Once the breakpoint is hit create a memory snapshot and open it.
- Inspecting the snapsh
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Sep 11, 2018 - C++
A C++ GPU Computing Library for OpenCL
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Apr 13, 2022 - C++
Fast Clojure Matrix Library
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Apr 24, 2022 - Clojure
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
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Apr 13, 2022 - Nim
An OpenCL-based FPGA Accelerator for Convolutional Neural Networks
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Feb 14, 2022 - C
OpenCL integration for Python, plus shiny features
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Apr 19, 2022 - Python
The Hacker's Machine Learning Engine
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Apr 21, 2022 - Rust
LuxCore source repository
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Apr 17, 2022 - C++
Add Javadoc to document the examples in TornadoVM.
This affects the packages under the examples module:
The documentation is at the class-level and it will contain a description of how the TornadoVM API is used for each example. Additionally, it contains how to run the example
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
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Jul 26, 2021 - Python
OpenCL implementation running on the VideoCore IV GPU of the Raspberry Pi models
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Apr 15, 2022 - C++
VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP
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Mar 26, 2022 - C++
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Our users are often confused by the output from programs such as zip2john sometimes being very large (multi-gigabyte). Maybe we should identify and enhance these programs to output a message to stderr to explain to users that it's normal for the output to be very large - maybe always or maybe only when the output size is above a threshold (e.g., 1 million bytes?)