johnnyxin Goto Github PK

algo

数据结构和算法必知必会的50个代码实现

analytics-zoo

Distributed Tensorflow, Keras and BigDL on Apache Spark

apollo

An open autonomous driving platform

autopilot-tensorflow

A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes

awesome-lane-detection

A paper list of lane detection.

bigdl

BigDL: Distributed Deep Learning Library for Apache Spark

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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

deeplearningpython35

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

fusion2018

Matlab code used for the paper "Unscented Kalman Filtering on Lie Groups for Fusion of IMU and Monocular Vision"

gasyori100knock

画像処理100本ノックして画像処理を画像処理して画像処理するためのもの For Japanese, English and Chinese

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

hello_world

just test git

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

interview-code-practice-python

面试题

kpywavelet

Continuous wavelet transform module for Python. Includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. This module references to the numpy, scipy and pylab Python packages.

l1

L1 Trend Filtering

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier

machine-learning-study-path-march-2019

A complete ML study path, focused on TensorFlow and Scikit-Learn

mudpy

Kinematic and static rupture forward modeling and inversion code

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

openpilot

open source driving agent

pyemd

Python implementation of Empirical Mode Decompoisition (EMD) method

pywt

PyWavelets - Wavelet Transforms in Python

rtklib

tensorbox

Object detection in TensorFlow. Brought to you by Kuprel Industries.

tensorflow-course

Simple and ready-to-use tutorials for TensorFlow