AsherChi's repositories

Stereo_Match_Traditional

traditional method for stereo matching

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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, ... 🧠

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Cifar10_Classification

using a simple net to classify the data of cifar10

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Classification-of-Handwritten-digits

The MNIST dataset, contained in mnist-original.mat (matlab format), consists of 70,000 digitized handwritten digits and their labels. I classified them using 2 different classifiers, a stochastic gradient descent classifier called SGDClassifier and a logistic regression classifier called LogisticRegression.

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docs-l10n

Translations of TensorFlow documentation

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fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

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git_test

仓库测试

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git_test_2

仓库测试 第二次 上一次删除了origin分支

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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IrisClassification

Iris Flower Classification using a local mnist.npz dataset with Keras

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Mnist_classification

mnist callsificaiton in a easy way

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models

Models and examples built with TensorFlow

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multi_classification

we classify the data to three types. we trianed a keras model to classify the data.

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openMVG

openMVG源码阅读

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openMVG_-

阅读并注释openMVG的代码

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sdsfs-

sdfaf

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stereo-match

some traditional method to solve the stereo vision problem

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Stereo-Matching-traditional-Method

traditional method for stereo matching

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test

test

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tf2-cifar10-classification-tensorflow2.3

used cifar10 as a datasets to train a model,environment based on tensorflow2

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