Top 19 C++ neural-network Projects
An Open Source Machine Learning Framework for EveryoneProject mention: Top Github repo trends in 2021 | dev.to | 2022-01-12
No surprises here: deep learning is the most popular subcategory, with hugging face transformers repo, YOLOv5, Tensorflow and Deepmind’s Alphafold all in the mix. Surprisingly, the only proper infrastructure-ey repos on the list are Meilisearch and Clickhouse, a tad bit surprising given all the hype data infrastructure receives in VC-world, but again, probably just a question of size of end-user populations + whether data scientists spend tons of time on Github vs. Web Developers…
Tensors and Dynamic neural networks in Python with strong GPU accelerationProject mention: [D] Does PyTorch credit contributors? | reddit.com/r/MachineLearning | 2022-01-14
If you look at the commit that you committed: https://github.com/pytorch/pytorch/commit/fdcb78df38f61e9c18b105e1fd56490e4f285064
OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit (by microsoft)
ncnn is a high-performance neural network inference framework optimized for the mobile platformProject mention: ncnn convert | dev.to | 2021-09-29
ncnn install ncnn
header only, dependency-free deep learning framework in C++14
A flexible, high-performance serving system for machine learning modelsProject mention: Running concurrent inference processes in Flask or should I use FastAPI? | reddit.com/r/flask | 2021-03-29
Don't roll this yourself. Look at Tensorflow Serving: https://github.com/tensorflow/serving.
A C++ standalone library for machine learning (by flashlight)Project mention: Python. | reddit.com/r/ProgrammerHumor | 2022-01-06
Flashlight bro, not flash. Read again
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A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.Project mention: [D] Efficiently loading videos in PyTorch without extracting frames | reddit.com/r/MachineLearning | 2021-10-26
OneFlow is a performance-centered and open-source deep learning framework.Project mention: Optimization of CUDA Elementwise Template Library: Practical, Efficient, and Extensible | reddit.com/r/CUDA | 2022-01-20
Elementwise operation refers to applying a function transformation to every element of a tensor. In deep learning, many operators can be regraded as elementwise operators, such as common activation functions (like ReLU and GELU) and ScalarMultiply (multiplying each element of a tensor by a scalar). For this elementwise operation, OneFlow(https://github.com/Oneflow-Inc/oneflow/) abstracts a CUDA template. this article will introduce the design thoughts and optimization techniques of CUDA template.
Official github repository for Fast Artificial Neural Network Library (FANN)Project mention: iNeural : Update (8.12.21) | dev.to | 2021-12-08
It is developed by taking inspiration from libraries such as iNeural, FANN, pylearn2, EBLearn, Torch7. Written mostly in C++, iNeural also leverages the power of Python. The biggest reason for its development is that it needs very few dependencies. For this reason, it is expected to be suitable for working in systems with limited system requirements.
We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematicProject mention: Simple method to pose a character using a reference image and AI pose estimation? | reddit.com/r/blender | 2021-03-02
Article and source code reference to construct a C++ neural network in a weekend without any dependencies
C++ wrapper library for DarknetProject mention: Object detection CV models for CPU | reddit.com/r/computervision | 2021-06-02
I use the darknet C++ API, DarkHelp. But to be fair and in the spirit of full disclosure...I wrote it. :)
Marking up images for use with Darknet.Project mention: Reduce false positive in object detection | reddit.com/r/computervision | 2021-09-13
Disclaimer: I'm the author of DarkHelp and DarkMark, and I run the Darknet/YOLO discord.
UCI Chess Engine (by rosenthj)Project mention: Weird Question: Is there a chess bot that makes intentionally illegal moves? | reddit.com/r/ComputerChess | 2021-04-08
If you want the perft results for any given position, you can use the engine Winter. Usage example:
Vintage guitar amp using neural networks. (by GuitarML)Project mention: Chameleon - a guitar plugin using neural networks to create three distinct sounds from a vintage style amp head. EQ and gain were added to allow further modification of the three core sounds, named Red (high gain), Gold (crunchy), and Green (crisp and clean) | reddit.com/r/programming | 2021-07-02
License plate parsing using Darknet and YOLOProject mention: I have a set of images with instances of two classes are labeled on it. Can I train Yolo V5 or V4 to detect both classes on a test image? | reddit.com/r/learnmachinelearning | 2021-09-26
Here is an example project with 37 classes, and all the images are within the same folder: https://github.com/stephanecharette/DarkPlate/tree/master/nn
A library for creating Artificial Neural Networks, for use in Machine Learning and Deep Learning algorithms.Project mention: iNeural | dev.to | 2021-12-10
This is a small example project, that showcases the possibility of using a surrogate model to estimate the drag coefficient of arbitrary triangles.Project mention: I used a simple neural network to estimate the drag coefficient around triangles | reddit.com/r/Python | 2021-06-05
If you're interested, you can check out the repository.
C++ neural-network related posts
[R] Instant Neural Graphics Primitives with a Multiresolution Hash Encoding (Training a NeRF takes 5 seconds!)
2 projects | reddit.com/r/MachineLearning | 16 Jan 2022
[D] Does PyTorch credit contributors?
3 projects | reddit.com/r/MachineLearning | 14 Jan 2022
From Sugoi Translator developer, I present you the next generation offline model V3.0. The first on the Internet to rank higher than DeepL in ALL THREE CATEGORIES: Visual Novel, Manga, and Light Novel. If anyone ever dreamed of an offline DeepL, this is it (links and more details in the comments)
3 projects | reddit.com/r/visualnovels | 8 Jan 2022
Is there any update about apple silicon GPU support in Pytorch ?
1 project | reddit.com/r/pytorch | 1 Jan 2022
cannot use newer nvidia drivers
1 project | reddit.com/r/ManjaroLinux | 30 Dec 2021
[P] Fine-tuning ResNet50 for "totally look alike" dataset search
3 projects | reddit.com/r/MachineLearning | 26 Dec 2021
[P] Memory Efficient Attention - Self-attention Does Not Need O(n^2) Memory
2 projects | reddit.com/r/MachineLearning | 18 Dec 2021
What are some of the best open-source neural-network projects in C++? This list will help you:
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