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deep-learning

28 posts

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codedeep-learninghtml7d

axinc-ai/ailia-sdk - cross-platform high speed inference SDK

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codedeep-learningintel7d

intel/intel-extension-for-pytorch - A Python package for extending the official PyTorch that can easily obtain performance on Intel platform

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codedeep-learningdeep-neural-networks7d

SonySemiconductorSolutions/mct-model-optimization - Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for depl

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artificial-intelligencecodecomputational-chemistry5d

dralgroup/mlatom - AI-enhanced computational chemistry

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codedeep-learningimage-restoration4d

the-database/traiNNer-redux - Deep learning training framework for image super resolution and restoration.

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aiartificial-intelligencecode3d

onnx/onnx - Open standard for machine learning interoperability

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aiaibooksartificial-intelligence2d

Ramakm/AI-ML-Book-References - This repository is for all those AI enthusiastics who actually loves to read books and learn.

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aiartificial-intelligencecnn2d

zimingttkx/AI-Practices - 🎓 机器学习与深度学习实战教程 | Comprehensive ML & DL Tutorial with Jupyter Notebooks | 包含线性回归、神经网络、CNN、RNN等完整教程

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codeconvolutional-neural-networkscrystal1d

NeuraLegion/shainet - SHAInet - a pure Crystal machine learning library

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audio-processingc#code1d

NVIDIA/DALI - A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

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artificial-intelligencecodecomputer-vision1d

openfoodfacts/openfoodfacts-ai - This is a tracking repo for all our AI projects. 🍕 🤖🍼

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aic#chess1d

rosenthj/Winter - UCI Chess Engine

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assemblyassembly-x86avx5121d

mohammad-ghaderi/cat-dog-asm-cnn - A Convolutional Neural Network implemented entirely from scratch in x86-64 assembly using AVX-512, performing cat vs dog image classification without any ML frameworks or libraries.

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codedata-miningdata-science1d

aeon-toolkit/aeon - A toolkit for time series machine learning and deep learning

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aiagentsartificial-intelligencecode1d

Marktechpost/AI-Tutorial-Codes-Included - Codes/Notebooks for AI Projects

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c#codedeep-learning1d

PaddlePaddle/Paddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

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autodiffcodecross-platform1d

tracel-ai/burn - Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

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artificial-dendrite-networksartificial-dendritesartificial-neural-networks1d

PerforatedAI/PerforatedAI - Add Dendrites to your PyTorch Project

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artificial-intelligenceaudio-analysisaudio-processing1d

orcasound/aifororcas-livesystem - Real-time AI-assisted killer whale notification system (model and moderator portal) :star:

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artificial-intelligencecodecomputer-vision1d

kornia/kornia - 🐍 Geometric Computer Vision Library for Spatial AI

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aiartificial-intelligencecode1d

brain4j-org/brain4j - Open-source machine learning framework for Java. Designed with speed and lightweight in mind.

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aicodecoreml1d

lutzroeder/netron - Visualizer for neural network, deep learning and machine learning models

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codedeep-learningembedded1d

pytorch/executorch - On-device AI across mobile, embedded and edge for PyTorch

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autogradautomatic-differentiationcirq1d

PennyLaneAI/pennylane - PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research.

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c#codedeep-learning1d

tensorflow/tensorflow - An Open Source Machine Learning Framework for Everyone

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autogradcodedeep-learning1d

pytorch/pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

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codedeep-learningmachine-learning1d

wvabrinskas/Neuron - A neural network library for Swift

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augmentationcococode18h

pooya-mohammadi/deep_utils - An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!

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