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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

algorithms

Minimal examples of data structures and algorithms in Python

apollo-note

Note for Apollo 3.0 perception, prediction and planning modules

asd_pomdp

A POMDP model of an ABA styel social greeting behavioral intervention

autonomous_parking

Very old school project - Parallel and transverse autonomous parking simulation with visualization

awesome-deep-learning-resources

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

candy

Candy: Self-driving Agent in Carla.

csu_notes

some notes about autonomous driving.

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deepmimic

Motion imitation with deep reinforcement learning.

deepreinforcementlearningnanodegree

Exercices and assignments from the Udacity deep reinforcement learning nanodegree

drl_path_planning

This is a DRL(Deep Reinforcement Learning) platform built with Gazebo for the purpose of robot's adaptive path planning.

gaussian_mixture_models

This is the code for "Gaussian Mixture Models - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube

h-obca

Hierarchical Optimization-Based Collision Avoidance - a path planner for autonomous parking

homemade-machine-learning

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

hyperlearn

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

intro-to-self-driving-cars-of-udacity

Some notebook while learning Intro to Self-driving Cars Nanodegree of Udacity.

lagerstroemia

learn_deep_learning_in_6_weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

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-tutorials

machine learning and deep learning tutorials, articles and other resources

ml_books

includes python-related books and books related to machine learning

nndl-codes

Sample Codes for NNDL

numcpp

C++ implementation of the Python Numpy library

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pysnooper

Never use print for debugging again

python

All Algorithms implemented in Python

python-100-days

Python - 100天从新手到大师

pythonrobotics

Python sample codes for robotics algorithms.