AsherChi's repositories
Stereo_Match_Traditional
traditional method for stereo matching
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_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.
openMVG
openMVG源码阅读
openMVG_-
阅读并注释openMVG的代码
stereo-match
some traditional method to solve the stereo vision problem
Stereo-Matching-traditional-Method
traditional method for stereo matching
tf2-cifar10-classification-tensorflow2.3
used cifar10 as a datasets to train a model,environment based on tensorflow2