galdamour

EliteQuant

A list of online resources for quantitative modeling, trading, portfolio management

ALGORITHM-TRADING-AND-STOCK-PREDICTION-USING-MACHINE-LEARNING

ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING

Automated-trading-forex-with-AI

My project

US-Stock-Prediction-Using-ML-And-Spark

Predict stock price based on financial news feeds

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

data-science

:bar_chart: Path to a free self-taught education in Data Science!

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

DeepLearningPython35

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

DeepMoji

State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

Emotional-Tone

fontconfig

FontConfig

imagenet18

Code to reproduce "imagenet in 18 minutes" experiments

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

models

Models and examples built with TensorFlow

paperbroker

An open source simulated options brokerage and UI for paper trading, algorithmic interfaces and backtesting.

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

python-mode

Vim python-mode. PyLint, Rope, Pydoc, breakpoints from box.

PythonTrainingExercises

Code to exercise your Python knowledge.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

scikit-learn

scikit-learn: machine learning in Python

Sequence-to-Sequence-Learning-of-Financial-Time-Series-in-Algorithmic-Trading

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

Stock-Price-Prediction

A group project for CMPE272 at SJSU

Stock-Trading-Using-Machine-Learning

A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.

tensor2tensor

A library for generalized sequence to sequence models

time-series-machine-learning

Machine learning models for time series analysis

vimrc

The ultimate Vim configuration: vimrc