Pinned Repositories
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.
colmap
COLMAP - Structure-from-Motion and Multi-View Stereo
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.
Stereo_Match_Traditional
traditional method for stereo matching
Asherchi's Repositories
Asherchi/Stereo_Match_Traditional
traditional method for stereo matching
Asherchi/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, ... 🧠
Asherchi/Cifar10_Classification
using a simple net to classify the data of cifar10
Asherchi/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.
Asherchi/colmap
COLMAP - Structure-from-Motion and Multi-View Stereo
Asherchi/docs-l10n
Translations of TensorFlow documentation
Asherchi/fashion-mnist
A MNIST-like fashion product database. Benchmark :point_right:
Asherchi/git_test
仓库测试
Asherchi/git_test_2
仓库测试 第二次 上一次删除了origin分支
Asherchi/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.
Asherchi/IrisClassification
Iris Flower Classification using a local mnist.npz dataset with Keras
Asherchi/Mnist_classification
mnist callsificaiton in a easy way
Asherchi/models
Models and examples built with TensorFlow
Asherchi/multi_classification
we classify the data to three types. we trianed a keras model to classify the data.
Asherchi/Line3Dpp
Line3D++ - Multi-View Stereo using Line Segments
Asherchi/mygit
Asherchi/openMVG
asher's verison of openMVG
Asherchi/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Asherchi/sadf
Asherchi/sdsfs-
sdfaf
Asherchi/stereo-match
some traditional method to solve the stereo vision problem
Asherchi/Stereo-Matching-traditional-Method
traditional method for stereo matching
Asherchi/Stereo_Match
Asherchi/StereoMatch
Asherchi/test
test
Asherchi/tf2-cifar10-classification-tensorflow2.3
used cifar10 as a datasets to train a model,environment based on tensorflow2
Asherchi/xfeat
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!