frank-wang225 Goto Github PK

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

bearingmeasurementanalysis

Analysis of the plain bearings measurements results using data science methods.

binary-networks-pytorch

Binarize convolutional neural networks using pytorch :fire:

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

blog

Projects published on controlpaths.com and hackster.io

cnn-accelerator

Designing CNN accelerator using a Xilinx FPGA board and comparing performance with CPU.

cnn_image_classification

Convolutional Neural Network (CNN) image classification of handwritten digits in Xilinx FPGA

cpython

The Python programming language

deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningsystem

Deep Learning System core principles introduction.

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

fpga-cnn-accelerator

The goal of this design is to use the PYNQ-Z2 development board to design a general convolution neural network accelerator. And through real-time handwritten digits input and MNIST test data set to verify the correctness and accuracy of the system.

gitskills

image-classification-using-cnn-on-fpga

Project is about designing a Trained Neural Network on FPGA to classify an Image Input using CNN.

infogan

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

infogan_tensorflow2.0

Quick Tensorflow 2.0 implementation of InfoGAN trained on MNIST.

learngit

machine-learning-notes

白板推导系列课程笔记 初版

machine_learning_basics_notes

机器学习白板推导系列笔记总结

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

machinelearninglecturenotes

张志华机器学习导论MOOC讲义

mnist_fpga

using xilinx xc6slx45 to implement mnist net

motion-detection-system-based-on-background-reconstruction

This work is based on PYNQ-Z2 development board provided by organizer, and adopts the cooperation scheme of hardware and software to build a DMA based image data cache transmission system. On this basis, Verilog HDL was used to design the axi4-stream interface based IP core for image processing, so as to build a high real-time moving target detection system. In our design, we focus on the optimization of processing pipeline, improve the traditional frame difference method, and achieve the optimization goal of saving logical resources through the accumulation compression and reconstruction expansion of cached background frames.

prmlt

Matlab code for machine learning algorithms in book PRML

pwc

Papers with code. Sorted by stars. Updated weekly.

python-data-science-handbook

A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-zh

谷歌全新开源人工智能系统TensorFlow官方文档中文版

tensorflow2-docs-zh

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版