Ruorala's repositories
C
All Algorithms implemented in C
C-Plus-Plus
All Algorithms implemented in C++
C-Sharp
All algorithms implemented in C#.
CNTK
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
cs231n.github.io
Public facing notes page
dive-into-cv-pytorch
动手学CV-Pytorch版
Emotion-recognition
Real time emotion recognition
Facial-emotion-recognition
A facial emotion recognition program implemented in Python using TensorFlow, Keras and OpenCV and trained on the FER2013 dataset with FERPlus' labels.
facial-expression-recognition-5
Facial Expression Recognition Using CNN and Haar-Cascade
FERPlus-Emotion-Recognition-using-keras
This is a repository about using keras to do emotion recognition on FERPlus dataset
Go
Algorithms Implemented in GoLang
hello-world
test
Java
All Algorithms implemented in Java
Javascript
A repository for All algorithms implemented in Javascript (for educational purposes only)
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
keras-101
快速入门 Keras 深度学习
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
machine-learning-yearning-cn
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
MATLAB-Octave
This repository contains algorithms written in MATLAB/Octave. Developing algorithms in the MATLAB environment empowers you to explore and refine ideas, and enables you test and verify your algorithm.
Memotion-Analysis
Internet Memes Classification using keras
models
Models and examples built with TensorFlow
Python
All Algorithms implemented in Python
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
ros_21_tutorials
《古月 · ROS入门21讲》课件&源码
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.