Neural Network
Artificial neural networks (ANN) are computational systems that “learn” to perform tasks by considering examples, generally without being programmed with any task-specific rules.
- GitHub: https://github.com/topics/neural-network
- Wikipedia: https://en.wikipedia.org/wiki/Artificial_neural_network
- Related Topics: machine-learning, deep-learning, tensorflow,
- Aliases: artificial-neural-network,
- Last updated: 2025-05-10 00:19:51 UTC
- JSON Representation
https://github.com/AXERA-TECH/ax-samples
Samples code for world class Artificial Intelligence SoCs for computer vision applications.
arm artificial-intelligence axera neural-network npu onnx yolo-world-v2 yolo11 yolov10 yolov5 yolov6 yolov8 yolox
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https://github.com/openfoodfacts/openfoodfacts-ai
This is a tracking repo for all our AI projects. 🍕 🤖🍼
artificial-intelligence computer-vision deep-learning food machine-learning neural-network nlp nutrition packaging photogrammetry prediction
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https://github.com/mreliptik/handpose
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cnn handpose keras neural-network opencv pose-estimation python ssd tensorflow
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https://github.com/AmusementClub/vs-mlrt
Efficient CPU/GPU/Vulkan ML Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2/v3, Real-CUGAN, RIFE, SCUNet and more!)
artificial-intelligence cuda deep-learning directml dpir gpu migraphx ncnn neural-network onnx onnxruntime openvino real-cugan real-esrgan rife tensorrt vapoursynth vulkan waifu2x
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https://github.com/lettergram/sentence-classification
Sentence Classifications with Neural Networks
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https://github.com/bjascob/amrlib
A python library that makes AMR parsing, generation and visualization simple.
abstract-meaning-representation amr amr-graphs amr-parser amr-parsing neural-network python pytorch spacy spacy-extension text-generation transformer
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https://github.com/adeelh/pytorch-multi-class-focal-loss
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
classification deep-learning imbalanced-classes implementation-of-research-paper loss-functions machine-learning multiclass-classification neural-network pytorch pytorch-implementation retinanet
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https://github.com/AdeelH/pytorch-multi-class-focal-loss
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
classification deep-learning imbalanced-classes implementation-of-research-paper loss-functions machine-learning multiclass-classification neural-network pytorch pytorch-implementation retinanet
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https://github.com/darkonhub/darkon
Toolkit to Hack Your Deep Learning Models
debug-neural-network debugging deep-learning deep-neural-networks machine-learning ml neural-network performance-hacks python tensorflow
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https://github.com/devmount/germanwordembeddings
Toolkit to obtain and preprocess German text corpora, train models and evaluate them with generated testsets. Built with Gensim and Tensorflow.
deep-learning deep-neural-networks evaluation gensim german-language model natural-language-processing neural-network nlp training word-embeddings word2vec
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A personal research and development (R&D) lab that facilitates the sharing of knowledge.
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VeriSilicon Tensor Interface Module
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https://github.com/LBANN/lbann
Livermore Big Artificial Neural Network Toolkit
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Livermore Big Artificial Neural Network Toolkit
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https://github.com/denosaurs/netsaur
Powerful Powerful Machine Learning library with GPU, CPU and WASM backends
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https://github.com/spring-media/headliner
🏖 Easy training and deployment of seq2seq models.
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https://github.com/ileafsolutions/StyleArt
Style Art library process images using COREML with a set of pre trained machine learning models and convert them to Art style.
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https://github.com/andrewzlee/NeuralBlock
Neural Network that detects in-video YouTube sponsorships.
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https://github.com/javascript-machine-learning/color-accessibility-neural-network-deeplearnjs
🍃 Using a Neural Network to improve web accessibility in JavaScript.
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https://github.com/explosion/cython-blis
💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!
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https://github.com/afsalashyana/FakeImageDetection
Fake Image Detection Using Machine Learning
fake-images java-neural-network javafx machine-learning multilayer-perceptron-network neural-network neuroph-studio
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https://github.com/afsalashyana/fakeimagedetection
Fake Image Detection Using Machine Learning
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Livermore Big Artificial Neural Network Toolkit
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https://github.com/arnaldog12/machine_learning
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
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目标是提供一个完整的Java机器学习(Machine Learning/ML)框架,作为人工智能在学术界与工业界的桥梁. 让相关领域的研发人员能够在各种软硬件环境/数据结构/算法/模型之间无缝切换. 涵盖了从数据处理到模型的训练与评估各个环节,支持硬件加速和并行计算,是最快最全的Java机器学习库.
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Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
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Simulation of life & evolution
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DCGAN image generator 🖼️.
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Interactive AI training simuation
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A Neural Network implemented from scratch (using only numpy) in Python.
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Image classification for everyone.
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Open Neural Network Exchange to C compiler.
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دوره جامع یادگیری عمیق با Tensorflow و Keras
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https://github.com/origamidream/gato
Unofficial Gato: A Generalist Agent
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https://github.com/swift-ai/neuralnet
An artificial neural network written in Swift
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https://github.com/Fixy-TR/fixy
Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.
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https://github.com/creativeikep/blazeposebarracuda
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Amazing Machine Learning Open Source Tools and Projects for the Past Year (v.2019)
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DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021
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Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)
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https://github.com/bu-icsg/dana
Dynamically Allocated Neural Network Accelerator for the RISC-V Rocket Microprocessor in Chisel
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Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning
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Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
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https://github.com/ygzwqzd/lamda-ssl
30 Semi-Supervised Learning Algorithms
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https://github.com/AdeDZY/K-NRM
K-NRM: End-to-End Neural Ad-hoc Ranking with Kernel Pooling
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https://github.com/nickgnd/programming-machine-learning-livebooks
Programming Machine Learning - Elixir Livebooks
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An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
fasttext gensim machine-learning neural-network online-learning scikit-learn shallow-learning supervised-learning text-classification text-mining word-embeddings word2vec
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https://github.com/giacbrd/ShallowLearn
An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
fasttext gensim machine-learning neural-network online-learning scikit-learn shallow-learning supervised-learning text-classification text-mining word-embeddings word2vec
Last synced: 27 Nov 2024
https://github.com/tugstugi/pytorch-speech-commands
Speech commands recognition with PyTorch | Kaggle 10th place solution in TensorFlow Speech Recognition Challenge
cifar10 classification deep-learning densenet dual-path-networks kaggle neural-network pytorch resnet resnext speech-recognition wide-residual-networks
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https://github.com/doubangotelecom/compv
Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)
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https://github.com/stephanecharette/DarkMark
Marking up images for use with Darknet.
computer-vision cpp darknet image-annotation juce machine-learning neural-network opencv yolo
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https://github.com/stephanecharette/darkmark
Marking up images for use with Darknet.
computer-vision cpp darknet image-annotation juce machine-learning neural-network opencv yolo
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https://github.com/stevenygd/NFGP
Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
geometry-processing machine-learning neural-fields neural-network
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https://github.com/arogozhnikov/3d_nn
Raymarching neural network in browsers with WebGL shaders
neural-network raymarching-distance-fields shaders visualization webgl
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Identifying diabetic retinopathy using convolutional neural networks
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Source Code for the Book Classic Computer Science Problems in Swift
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This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).
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https://github.com/douban/tfmesos
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Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling
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https://github.com/dkeras-project/dkeras
Distributed Keras Engine, Make Keras faster with only one line of code.
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https://github.com/khanhnamle1994/neural-nets
Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course
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https://github.com/zhongkaifu/seq2seqsharp
Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.
attention-model cuda deep-learning encoder-decoder gpu image lstm machine-translation neural-network seq2seq sequence-to-sequence tensor text transformer transformer-architecture transformer-encoder translation vision-transformer
Last synced: 04 Apr 2025
https://github.com/balavenkatesh3322/audio-pretrained-model
A collection of Audio and Speech pre-trained models.
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SHAInet - a pure Crystal machine learning library
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[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs
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SHAInet - a pure Crystal machine learning library
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卷积神经网络实现的验证码识别
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Test your HN title against a neural network
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Heterogeneous automatic differentiation ("backpropagation") in Haskell
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https://github.com/can1357/simple_cnn
Simple Convolutional Neural Network Library
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https://github.com/swift-ai/neuralnet-handwriting-ios
A handwriting recognition example for iOS using NeuralNet
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https://github.com/mempirate/simple-neural-network
Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.
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🕵️♂️ Interpreting Convolutional Neural Network (CNN) Results.
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Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.
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https://github.com/orendv/learning_to_sample
A learned sampling approach for point clouds (CVPR 2019)
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https://github.com/harshtikuu/Abnormal_Event_Detection
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https://github.com/primitiv/primitiv
A Neural Network Toolkit.
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Last synced: 10 Apr 2025