Search Results for "neural networks c++"
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Showing 1219 open source projects for "neural networks c++"
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ConnectWise PSA (formerly Manage) allows you to stop working in separate systems, and helps you build a more profitable business. No more duplicate data entries, inefficient employees, manual invoices, and the inability to accurately track client service issues. Get a behind the scenes look into the award-winning PSA that automates processes for each area of business: sales, help desk, support, finance, and HR.
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Docubee is an intelligent contract automation platform that allows you to quickly and painlessly generate, manage, share, and sign contracts. Featuring powerful conditional logic-based workflows, generative AI technology, and an easily adaptable interface, Docubee makes it easy to automate your most complex contracts and agreements.
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Tiny CUDA Neural Networks
Lightning fast C++/CUDA neural network framework
This is a small, self-contained framework for training and querying neural networks. Most notably, it contains a lightning-fast "fully fused" multi-layer perceptron (technical paper), a versatile multiresolution hash encoding (technical paper), as well as support for various other input encodings, losses, and optimizers. We provide a sample application where an image function (x,y) -> (R,G,B) is learned. The fully fused MLP component of this framework requires a very large amount of shared... -
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Nixtla Neural Forecast
Scalable and user friendly neural forecasting algorithms.
NeuralForecast offers a large collection of neural forecasting models focusing on their performance, usability, and robustness. The models range from classic networks like RNNs to the latest transformers: MLP, LSTM, GRU, RNN, TCN, TimesNet, BiTCN, DeepAR, NBEATS, NBEATSx, NHITS, TiDE, DeepNPTS, TSMixer, TSMixerx, MLPMultivariate, DLinear, NLinear, TFT, Informer, AutoFormer, FedFormer, PatchTST, iTransformer, StemGNN, and TimeLLM. There is a shared belief in Neural forecasting methods' capacity... -
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A rudimentary 3D computer game that utilises artificial neural networks to enable computer agents to anticipate a target's location and shoot (bullets) in the corresponding direction.
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OpenNN - Open Neural Networks Library
Machine learning algorithms for advanced analytics
OpenNN is a software library written in C++ for advanced analytics. It implements neural networks, the most successful machine learning method. Some typical applications of OpenNN are business intelligence (customer segmentation, churn prevention…), health care (early diagnosis, microarray analysis…) and engineering (performance optimization, predictive maitenance…). OpenNN does not deal with computer vision or natural language processing. The main advantage of OpenNN is its high... -
Calmerry is beneficial for businesses of all sizes, particularly those in high-stress industries, organizations with remote teams, and HR departments seeking to improve employee well-being and productivity
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Stock prediction deep neural learning
Predicting stock prices using a TensorFlow LSTM
Predicting stock prices can be a challenging task as it often does not follow any specific pattern. However, deep neural learning can be used to identify patterns through machine learning. One of the most effective techniques for series forecasting is using LSTM (long short-term memory) networks, which are a type of recurrent neural network (RNN) capable of remembering information over a long period of time. This makes them extremely useful for predicting stock prices. Predicting stock prices... -
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PyTorch
Open source machine learning framework
PyTorch is a Python package that offers Tensor computation (like NumPy) with strong GPU acceleration and deep neural networks built on tape-based autograd system. This project allows for fast, flexible experimentation and efficient production. PyTorch consists of torch (Tensor library), torch.autograd (tape-based automatic differentiation library), torch.jit (a compilation stack [TorchScript]), torch.nn (neural networks library), torch.multiprocessing (Python multiprocessing... -
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Stockfish
UCI chess engine
... is open source (GPLv3 license). That means you can read the code, modify it, and contribute back. You can use Stockfish on your computer or on your iOS or Android device. So you can get world-class chess analysis, wherever you are. The Stockfish engine features two evaluation functions for chess, the classical evaluation based on handcrafted terms, and the NNUE evaluation based on efficiently updatable neural networks. -
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ncnn
High-performance neural network inference framework for mobile
ncnn is a high-performance neural network inference computing framework designed specifically for mobile platforms. It brings artificial intelligence right at your fingertips with no third-party dependencies, and speeds faster than all other known open source frameworks for mobile phone cpu. ncnn allows developers to easily deploy deep learning algorithm models to the mobile platform and create intelligent APPs. It is cross-platform and supports most commonly used CNN networks, including... -
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WindTerm
A professional cross-platform SSH/Sftp/Shell/Telnet/Serial terminal
A Quicker and better SSH/Telnet/Serial/Shell/Sftp client for DevOps. WindTerm is a partial open source project, and the source will be gradually opened. Open source code includes, but is not limited to, the classes that can be used independently, such as functional, algorithms, GUI widgets, etc., as well as functional libraries, such as networks, protocols, etc., as well as all types that require open source according to the license. SSH v2, Telnet, Raw TCP, Serial, Shell protocols were... -
Our 360 recognition & rewards platform enables everyone (peer to peer & manager to employees alike) to send meaningful recognition rooted in core values. Nectar has the most extensive rewards catalog so users can choose from company branded swag, Amazon products, gift cards or custom reward types. Integrate with your other tools like Slack and Teams to make sending recognition easy. We support top organizations like MLB, SHRM, Redfin, Heineken and more.
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Keras
Python-based neural networks API
Python Deep Learning library -
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AlphaZero.jl
A generic, simple and fast implementation of Deepmind's AlphaZero
Beyond its much publicized success in attaining superhuman level at games such as Chess and Go, DeepMind's AlphaZero algorithm illustrates a more general methodology of combining learning and search to explore large combinatorial spaces effectively. We believe that this methodology can have exciting applications in many different research areas. Because AlphaZero is resource-hungry, successful open-source implementations (such as Leela Zero) are written in low-level languages (such as C... -
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ZeroTier
A smart Ethernet switch for Earth
Connect team members from anywhere in the world on any device. ZeroTier creates secure networks between on-premise, cloud, desktop, and mobile devices. ZeroTier combines the capabilities of VPN and SD-WAN, simplifying network management. Enjoy flexibility while avoiding costly hardware vendor lock in. Set up ZeroTier in minutes with remote, automated deployment. Emulates Layer 2 Ethernet with multipath, multicast, and bridging capabilities. ZeroTier’s zero-trust networking solution provides... -
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hashcat
World's fastest and most advanced password recovery utility
... paths remain intact. Multi-Device-Types (Utilizing mixed device types in same system). Supports password candidate brain functionality. Supports distributed cracking networks (using overlay). Supports interactive pause / resume. Supports sessions. Supports restore. Supports reading password candidates from file and stdin. Supports hex-salt and hex-charset. Supports automatic performance tuning. Supports automatic keyspace ordering markov-chains. -
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Brotli
Brotli compression format
Version 1.0.9 contains a fix to "integer overflow" problem. This happens when "one-shot" decoding API is used (or input chunk for streaming API is not limited), input size (chunk size) is larger than 2GiB, and input contains uncompressed blocks. After the overflow happens, memcpy is invoked with a gigantic num value, that will likely cause the crash. Brotli is a generic-purpose lossless compression algorithm that compresses data using a combination of a modern variant of the LZ77 algorithm,... -
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LibreSprite
Animated sprite editor & pixel art tool
... to a proprietary license on August 26th, 2016. This fork was made on the last commit covered by the GPL version 2 license and is now developed independently of Aseprite. This program is distributed under the GNU General Public License Version 2. As LibreSprite has a newly budding community, we need help building the infrastructure of our development, support, and news networks. -
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YARA
The pattern matching swiss knife for malware researchers
... scripts with the yara-python extension. YARA-CI may be a useful addition to your toolbelt. This is GitHub application that provides continuous testing for your rules, helping you to identify common mistakes and false positives. If you plan to use YARA to scan compressed files (.zip, .tar, etc) you should take a look at yextend, a very helpful extension to YARA developed and open-sourced by Bayshore Networks. -
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Alpa
Training and serving large-scale neural networks
Alpa is a system for training and serving large-scale neural networks. Scaling neural networks to hundreds of billions of parameters has enabled dramatic breakthroughs such as GPT-3, but training and serving these large-scale neural networks require complicated distributed system techniques. Alpa aims to automate large-scale distributed training and serving with just a few lines of code. -
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MIVisionX
Set of comprehensive computer vision & machine intelligence libraries
MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX delivers highly optimized open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions along with Convolution Neural Net Model Compiler & Optimizer supporting ONNX, and Khronos NNEF™ exchange formats. The toolkit allows for rapid prototyping and deployment of optimized computer vision and machine learning inference... -
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Image-Editor
AI based photo editing website for changing image background
...' with the name of your choice. Image-Editor uses Python's cv2 library, which provides an easy and efficient way to work with images and videos, including a wide range of image processing and computer vision algorithms. With cv2, you can easily read, write, filter, and display images, and much more. Image-Editor uses Mediapipe's selfie_segmentation model for background removal in real-time video streams. This advanced model uses deep neural networks to detect and remove the background. -
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Dogecoin Core
Dogecoin is a community-driven cryptocurrency
Dogecoin is a community-driven cryptocurrency that was inspired by a Shiba Inu meme. The Dogecoin Core software allows anyone to operate a node in the Dogecoin blockchain networks and uses the Scrypt hashing method for Proof of Work. It is adapted from Bitcoin Core and other cryptocurrencies. You have to sync with the blockchain to use Dogecoin. MultiDoge is a "light" wallet. It syncs with the blockchain by "skimming" through the blockchain, providing fast sync times. Dogecoin Core... -
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Bumblebee
Pre-trained Neural Network models in Axon
Bumblebee provides pre-trained Neural Network models on top of Axon. It includes integration with Models, allowing anyone to download and perform Machine Learning tasks with few lines of code. The best way to get started with Bumblebee is with Livebook. Our announcement video shows how to use Livebook's Smart Cells to perform different Neural Network tasks with a few clicks. You can then tweak the code and deploy it. First, add Bumblebee and EXLA as dependencies in your mix.exs. EXLA... -
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AI Upscaler for Blender
AI Upscaler for Blender using Real-ESRGAN
... on the CPU. Blender renders a low-resolution image. The Real-ESRGAN Upscaler upscales the low-resolution image to a higher-resolution image. Real-ESRGAN is a deep learning upscaler that uses neural networks to achieve excellent results by adding in detail when it upscales. -
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pytorch-cpp
C++ Implementation of PyTorch Tutorials for Everyone
C++ Implementation of PyTorch Tutorials for Everyone. This repository provides tutorial code in C++ for deep learning researchers to learn PyTorch (i.e. Section 1 to 3) Interactive Tutorials are currently running on LibTorch Nightly Version. Libtorch only supports 64bit Windows and an x64 generator needs to be specified. Create all required script module files for pre-learned models/weights during the build. Requires installed python3 with PyTorch and torch-vision. You can choose to only build... -
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TensorRT
C++ library for high performance inference on NVIDIA GPUs
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers... -
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Chemprop
Message Passing Neural Networks for Molecule Property Prediction
Chemprop is a repository containing message-passing neural networks for molecular property prediction.