xdxdebug

xdxdebug

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labml

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

License:MITStargazers:1Issues:0Issues:0

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

License:MITStargazers:1Issues:0Issues:0

DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

License:GPL-3.0Stargazers:0Issues:0Issues:0

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

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pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

License:NOASSERTIONStargazers:0Issues:0Issues:0
License:MITStargazers:0Issues:0Issues:0

DnCNN

本项目为做毕设之前学习pytorch进行图像去噪处理的复现练习

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Food_Calories_detection

detection food Calories

License:Apache-2.0Stargazers:0Issues:0Issues:0

torchserve-examples

Repository with torchserve examples

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Transfer-Learning-in-keras---custom-data

Implementing Transfer Learning for custom data using VGG-16 and Resnet-50

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Image-basedFoodRecognition

Repository for 'Deep Learning' project no. 4: food recognition challenge.

License:MITStargazers:0Issues:0Issues:0

DG-LAB-OPENSOURCE

The Bluetooth Protocol Of DG-LAB Devices

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DeepLearning-Food-Image-Recognition-And-Calorie-Estimation

Food image prediction using TensorFlow and calorie estimation using K-Nearest-Neighbors algoritm

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MonoDepth-FPN-PyTorch

Single Image Depth Estimation with Feature Pyramid Network

License:MITStargazers:0Issues:0Issues:0

Food_Classification

Food Image Recognition with Deep Convolutional features of Deep Learning

License:MITStargazers:0Issues:0Issues:0

Multi-Task-DCNN-for-Vireo172

Single task and multi-task model for Chinese food classification

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food-101

food-101

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resnet-cppn-gan-tensorflow

Using Residual Generative Adversarial Networks and Variational Auto-encoder techniques to produce high resolution images.

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