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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, ... 🧠

cifar10_classification

using a simple net to classify the data of cifar10

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.

docs-l10n

Translations of TensorFlow documentation

fashion-mnist

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

git_test

仓库测试

git_test_2

仓库测试 第二次 上一次删除了origin分支

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.

irisclassification

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

mnist_classification

mnist callsificaiton in a easy way

models

Models and examples built with TensorFlow

multi_classification

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

mygit

openmvg

openMVG源码阅读

openmvg_-

阅读并注释openMVG的代码

sadf

sdsfs-

sdfaf

stereo-match

some traditional method to solve the stereo vision problem

stereo-matching-traditional-method

traditional method for stereo matching

stereo_match

stereo_match_traditional

traditional method for stereo matching

stereomatch

test

test

tf2-cifar10-classification-tensorflow2.3

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