Pinned Repositories
Adversarial-RL
A Project of a Reinforcement Learning course. Simulated competing investment strategies through continuous refinement in a virtual stock market setting. The strategies adjusted weights to different stocks over time to maximize profits.
AE_ts
Auto encoder for time series
agents
TF-Agents is a library for Reinforcement Learning in TensorFlow
AI-Crash-Course
AI-Crash-Course, published by Packt
AI_Research_Dynamics
alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4
deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
mxnet-gluon-tutorial
my simple tutorial for mxnet, a fast deep learning framework
tsDyn
tsDyn
wanqing
罗马主义的《晚清沧海事》
elephann's Repositories
elephann/PGPortfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
elephann/tushare
TuShare is a utility for crawling historical data of China stocks
elephann/ELF
ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation
elephann/f-AnoGAN
Code for reproducing f-AnoGAN training and anomaly scoring
elephann/rlR
Deep Reinforcement Learning in R (Deep Q Learning, Policy Gradient, Actor-Critic Method, etc)
elephann/chinese.misc
Chinese manual for package chinese.misc
elephann/alphago
Reference implementation of DeepMinds AlphaGo based on "Deep Learning and the Game of Go"
elephann/fable
Tidy time series forecasting
elephann/tsibble
Tidy Temporal Data Frames and Tools
elephann/drl-portfolio-management
CSCI 599 deep learning and its applications final project
elephann/ruimtehol
R package to Embed All the Things! using StarSpace
elephann/LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
elephann/Reinforcement-learning-on-portfolio-management
elephann/Generative_Models_Tutorial_with_Demo
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
elephann/variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
elephann/Reinforcement-Learning-Stock-Trader
Reinforcement Learning Script that trades Equities from Yahoo Finance
elephann/general-2D-map
An experiment in R to create images based on trajectories of a strange attractor
elephann/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
elephann/cart-pole
Gym ai cart pole environment implemented using deep reinforcement learning with keras
elephann/fastai
The fastai deep learning library, plus lessons and and tutorials
elephann/Deep_Learning_LSTM
Building a classifier model for the Multivariate Time Series data using LSTM in Keras
elephann/RNN-Time-series-Anomaly-Detection
RNN based Time-series Anomaly detector model implemented in Pytorch.
elephann/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
elephann/q-trader
Deep Q-learning driven stock trader bot
elephann/keras-tcn
Keras Temporal Convolutional Network.
elephann/s-vae-tf
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
elephann/WaveNet-BTC
WaveNet model applied to intra-day Bitcoin exchange forcasting
elephann/lstm_anomaly_thesis
Anomaly detection for temporal data using LSTMs
elephann/monte-carlo-tree-search
Library for running a Monte Carlo tree search, either traditionally or with expert policies
elephann/TimeSeries_Seq2Seq
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.