MechCD's repositories

Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

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DL-Project-Template

深度学习工程模板

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dmp_experiments

MATLAB experiments for learning how to use DMP's

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CMakePractice

CMake 入门及练习

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Deep-Learning-21-Examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

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My-TensorFlow-tutorials

This repo contains all of my TensorFlow tutorials

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deeplearning_ai_books

deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)

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deformable_manipulation_interface

ROS interface between a robot/simulator and planners for deformable object manipulation.

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dlcv_for_beginners

《深度学习与计算机视觉》配套代码

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Face-Recognition-Using-PCA

Principal component Analysis can be used for many purposes we found some of them are to decrease the computational complexity and measure of the covariance between the images. PCA reduces the complexity of computation when there is large number of database of images. These principal components of the Eigen vector of this covariance matrix when concatenated and converted gives the Eigen faces. These Eigen faces are the ghostly faces of the trained set of faces form a face space. This distance gives the location of the image in the Eigen space, which is taken as the output matched image.

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handson-ml

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

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human-motion-prediction

Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.

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labelme

Image Polygonal Annotation with Python.

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learning_note

A collection of my learning notes

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lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

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machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接

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maya_garment_simulation

A set of maya simulation scripts and example to generate training exemplars.

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phys-gmm

Physically-consistent GMM fitting approach proposed by Figueroa, N. and Billard, A. (2018) "A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning". In Proceedings of the 2nd Conference on Robot Learning (CoRL).

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PRML

PRML algorithms implemented in Python

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PRMLT

Matlab code for machine learning algorithms in book PRML

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rnn_in_forecasting_tool_wear

Maybe the 1st tool wear forecasting by DL

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robot-grasp-detection

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

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robotics-toolbox-matlab

Robotics Toolbox for MATLAB

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shendusuipian

常用代码

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tensorflow-triplet-loss

Implementation of triplet loss in TensorFlow

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tensorflow-tutorial

Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.

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textiles

Research on algorithms for garment perception and manipulation.

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ViedoDownloader

网易云课堂视频下载

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you-get

:arrow_double_down: Dumb downloader that scrapes the web

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