Reinforcement Learning for Market
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2020
2019
Keras Image Generator
```python from keras.datasets import mnist from keras.utils import to_categorical from keras.models import Sequential from keras.layers import Conv2D from ke...
Nvidia Self Driving Car Model
```python import socketio import eventlet import numpy as np from flask import Flask from keras.models import load_model import base64 from io import BytesIO...
Variation Autoencoder in Tensorflow
Variation Autoencoder Implementation in Tensorflow ```python class VariationAutoencoder:
Pandas resample
Alias Description B business day frequency C custom business day frequency (experimental) D calendar day frequency W weekly frequency M month en...
Portfolio Optimization
Montecarlo Optimization
quiz
```python count = 0
Confusion Matrix
Confusion Matrix
Knight Tour
```python def knightTour(nlevel,vertex,limit,path): vertex.setColor(“visited”) path.append(vertex)
Ganstockpredic
title: “GAN predict next state” date: 2019-03-15 classes: wide use_math: true tags: python keras tensorflow reinforcement_learning machine_learning GAN DCGA...
PID Controller Trajectory
PID autonomous driving Trajectory ```python
ARIMA model
ARIMA AR MA ARMA model
Parking Trajectory
path planning
DCGAN
DCGAN refer to github, YBIGTA DCGAN
Array quiz
Find the missing Element
KL Divergence
KL KL
Recursive
```python def word_split(phrase,list_of_words, output = None): ‘’’ Note: This is a very “python-y” solution. ‘’’ # Checks to see if any output h...
Binary Search Tree
```python class Node: def init(self,d): self.data = d self.left = None self.right = None
flask bank restful api
BANK rest api ```python
flask and server
flask login
String Permutation
```python import os,sys
QuantRobot
Algo Quant robot GUI Implementation
PyQt
QT Designer QT Designer
MergeSort
merge sort code merge sort code
XGBoost
using XGBoost
GAN
```python GAN for prediction cost function D_loss_real = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=D_logit_real, labels=tf.ones_like(D_lo...
GAN predict
GAN prediction
Tensorflow Initializer
Tensorflow Initializer
AWS
How to use Jupyter Notebook with AWS and Docker
Python Django
Python Django 와 AWS로 쇼핑몰 만들기
Deep Deterministic Policy Gradient
After Deep Q-Network became a hit, people realized that deep learning could be used to solve high-dimensional problems
2018
Asynchronous Agent Actor Critic (A3C)
Asynchronous Agent Actor Critic (A3C)
An introduction to TensorFlow queuing and threading
TensorFlow queuing and threads – introductory concepts Parallel threads with TensorFlow Dataset API and flat_map code Multi-Threading-mnist-classifier
Asynchronous methods for deep reinforcement learning
Asynchronous methods for deep reinforcement learning
Economic Data Python FRED API Quandl
FRED API FRED API FRED API blog Python Client for FRED® API
Time Series Anomaly Detection & RL time series
Prediction of Stock Moving Direction
49 Experiments
Reinforcement Learning network + Prediction network + Augmented Training network Phase 1 development completed RL network training completed RL Autoen...
How to set adaptive learning rate for GradientDescentOptimizer?
How to set adaptive learning rate for GradientDescentOptimizer?
Scurm Agile
Agile in Automotive 2015
R&D outsourcing
PWC pharma outsourcing
Keras Metrics Option
Keras Metrics Option
Keras Word Embedding
Keras Word Embedding Tutorial
Autoencoder
```python from keras.layers import Input, Dense from keras.models import Model
Bayesian Regression
Bayesian Regression Implementaion
Python Code snippet
Word Counting and vocabrary
CNN LSTM example
Sentiment Analysis
Unsupervised Clustering with Autoencoder
K-Means cluster sklearn tutorial
Autonomous Driving Testing
VALIDATION AND VERIFICATION OF AUTOMATED DRIVING VEHICLES VALIDATION AND VERIFICATION OF AUTOMATED DRIVING VEHICLES
LSTM RNN anomaly detection and Machine Translation and CNN 1D convolution
RNN-Time-series-Anomaly-Detection RNN-Time-series-Anomaly-Detection
Financial Prediction
NY News Json download ```python items = requests.get(url) try: data = items.json()
Data Matching and Data Generation
Turi Machine Learning Platform User Guide
Deep time series prediction
Welcome to the Deep Time Series Project
Hyper Parameter Tuning
Hyper Parameter Tuning One way of searching for good hyper-parameters is by hand-tuning Another way of searching for good hyper-parameters is to divide ...
Softmax function
Softmax function python
jupyter notebook
Apply custom CSS styling to your jupyter notebooks
RL reward tutorial review
Class Agent ```python class Agent: def init(self, state_size, is_eval=False, model_name=””): self.action_size = 3 # sit, buy, sell … def _model(self): ...
Matplotlib tutorial
Matplotlib Subplot
High frequency Trading RL Experiments
An environment to high-frequency trading agents under reinforcement learning An environment to high-frequency trading agents under reinforcement learning
Market Predict RL Experiments
MCTS Monte Carlo Tree Search
Predict DL Experiments (python tutorial)
Decide Economic Index
Code Snippet Predict DL Experiments (python tutorial)
Decide Economic Index
Parallel Parking Trajectory
Parallel Trajectory
Stock Python Utils
read yahoo data from datareader read yahoo data from datareader
python api pandas to_pickle
pandas.to_pickle
python api numpy randint
Return random integers from low (inclusive) to high (exclusive).
Hvass Time series prediction
Introduction This Tutorial tries to predict the future weather of a city using weather data from several other cities We will use a Recurrent Neural Net...
Economic Data and Index
전국 주택가격동향조사 전국 주택가격동향조사
new Image Classification
Image classification with Keras and deep learning
Monocular Reconstruction of Vehicles: Combining SLAM with Shape Priors
Monocular Reconstruction of Vehicles: Combining SLAM with Shape Priors Monocular Reconstruction of Vehicles: Combining SLAM with Shape Priors
Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing pape...
Conditional Imitation Learning CARLA
Conditional Imitation Learning at CARLA
Ubuntu tutorial(pycharm,eclipse,vim,java,pyqt4 and etc)
open-vm-tools and VMWare Shared Folders for Ubuntu guests open-vm-tools and VMWare Shared Folders for Ubuntu guests
Structure from motion
Summary
Deep Reinforcement : Imitation Learning
Deep Reinforcement : Imitation Learning
OpenAI gym tutorial
Deep RL and Controls OpenAI Gym Recitation
ROS virtualenv
Virtualenv creation ```shell virtualenv venv –python=$(which python) virtualenv roskineticenv –python=python3.4 or pythonj3.5
ROS tutorial korean
로봇 운영체제 강좌 로봇 운영체제 강좌
ROS basic and turtlebot example, Ubuntu command error
ROS Architecture
ROS pixhawk
Pixhawk와 ROS를 이용한 자율주행
ROS Research Topic
An Introduction to Robot Operating System (ROS) An Introduction to Robot Operating System (ROS)
Reinforcement Learning with ROS and Gazebo
Reinforcement Learning with ROS and Gazebo
Hvass forecast stock returns
Data Sources Price data from Yahoo Finance. Financial data for individual stocks collected manually by the author from the 10-K Forms filed with the U.S...
Keras RL
Deep Reinforcement Learning for Keras keras-rl implements some state-of-arts deep reinforcement learning in Python and integrates with keras keras-rl wo...
Simple Reinforcement Learning with Tensorflow Part 7: Action-Selection Strategies for Exploration
Introduction It will go over a few of the commonly used approaches to exploration which focus on action-selection and show their strengths and weakness
Basic Cart Pole DQN
CartPole Basic start cartpole environment and take random actions
Explorations of Using Python to play Grand Theft Auto 5
Explorations of Using Python to play Grand Theft Auto 5
Matplotlib pyplot hist
plt.hist
t-SNE
t-SNE visualization by TensorFlow
Tensorflow tf tile
tf.tile
Tensorflow tf nn.embedding_lookup
tf.nn.embedding_lookup
Tensorflow tf concat
tf.concat
sklearn labelencoder
sklearn.preprocessing.LabelEncoder
Keras Image Classification
Keras Workflow
Predict Stock Price using RNN
Introduction This tutorial is for how to build a recurrent neural network using Tensorflow to predict stock market prices Part 1 focuses on the predicti...
python api numpy where
stackoverflow example
python api numpy concatenate
```python Examples
Behavioral Cloning in Autonomous Driving
Behaviroal Cloning in Autonomous Driving in Reinforcement Learning
python api keras fit_generator
fit_generator
python api numpy dstack
numpy.dstack
Reinforcement Learning Hvass Tutorial Q-Learning
Reinforcement Learning Q-Learning(Off-policy Function Approximation)
Research Topic Time Series Analysis
Research Topic Summarization
Research Topic
Research Topic Summarization
Machine Learning with Stock Trading
Introduction Machine Learning with stock trading is now able to generate Alpha
Karpathy Policy Gradient Analysis
Introduction RL research Area ATARI games Alpha Go robots learning how to perform complex manipulation tasks etc
Tensorflow tf AdamOptimizer
tf AdamOptimizer
Python map function
python map function
Policy Gradient Basic
Tensorflow gradient explaination
Tensorflow tf trainable_variables
tf trainable_variables
OpenAI Pendulum-v0
pendulum-v0
Tensorflow tflearn layers.normalization.batch_normalization
tflearn layers.normalization.batch_normalization
Tensorflow tflearn input_data
tflearn input_data
Tensorflow tflearn initializations uniform
tflearn.initializations.uniform
Tensorflow tflearn fully_connected
tflearn fully_connected
Tensorflow tflearn activation relu
tflearn.activation.relu
Tensorflow tflearn activation
tflearn.activation
Tensorflow gradients
tf.gradients
Tensorflow AdamOptimizer apply_gradients
tf.AdamOptimizer apply_gradients
DDPG Actor-Critic Policy Gradient in Tensorflow
refer to this link Intorduction After Deep Q-Network became a hit,people realized that deep learning methods could be used to solve a high-dimensional proble...
Tensorflow squared_difference
tf.squared_difference( x, y, name=None )
python api numpy random choice
Generates a random sample from a given 1-D array
python api numpy vstack
Examples ```python import numpy as np
python api deque
An intro to Deque module
Tensorflow squeeze
```python tf.squeeze( input, axis=None, name=None, squeeze_dims=None )
Tensorflow placeholder
```python tf.placeholder( dtype, shape=None, name=None )
Tensorflow one_hot
```python indices = [0, 1, 2] depth = 3 tf.one_hot(indices, depth) # output: [3 x 3] [[1., 0., 0.], [0., 1., 0.], [0., 0., 1.]]
Tensorflow gather
```python tf.gather( params, indices, validate_indices=None, name=None, axis=0 )
Tensorflow expand_dims
```python tf.expand_dims( input, axis=None, name=None, dim=None )
python api itertools
itertools API First, let’s get the boring part out of the way: ```python import itertools
Memory Augmented RL
Understand Memory Augmented Reinforcement Learning Can we learn an agent with an external memory? external memory (Read/Write)
Advantage Actor-Critic Example
Understand Actor-Critic (AC) algorithms Learned Value Function Learned Policy this example uses Advantage Actor(policy weight)-Critic(Value Weight) Al...