Pinned Repositories
airspace-hugo
Airspace theme (Hugo version)
arxiv-style
A Latex style and template for paper preprints (based on NIPS style)
cppn-gan-vae-tensorflow
Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.
cppn-tensorflow
Very Simple and Basic Implementation of Compositional Pattern Producing Network in TensorFlow
CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
Deep-Learning-in-Asset-Pricing
https://arxiv.org/abs/1805.01104
Deep-Trading
Algorithmic trading with deep learning experiments
Deep_Learning_in_Asset_Pricing
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3350138
Food100_YOLO_Tools
Python tools and configuration files for Food100 dataset DarkNet YOLO training
RenaissanceEngineering's Repositories
RenaissanceEngineering/Deep_Learning_in_Asset_Pricing
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3350138
RenaissanceEngineering/Food100_YOLO_Tools
Python tools and configuration files for Food100 dataset DarkNet YOLO training
RenaissanceEngineering/airspace-hugo
Airspace theme (Hugo version)
RenaissanceEngineering/arxiv-style
A Latex style and template for paper preprints (based on NIPS style)
RenaissanceEngineering/cppn-gan-vae-tensorflow
Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.
RenaissanceEngineering/CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
RenaissanceEngineering/Deep-Learning-in-Asset-Pricing
https://arxiv.org/abs/1805.01104
RenaissanceEngineering/dl-4-tsc
Deep Learning for Time Series Classification
RenaissanceEngineering/FinanceOps
Research in investment finance with Python Notebooks
RenaissanceEngineering/hugo-hero-theme
A modern business theme for Hugo.
RenaissanceEngineering/lucid-sonic-dreams
RenaissanceEngineering/mbmlbook
Sample code for the Model-Based Machine Learning book.
RenaissanceEngineering/Neural-Net-with-Financial-Time-Series-Data
This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
RenaissanceEngineering/orbyter-cookiecutter
Dockerized ML Cookiecutter
RenaissanceEngineering/orbyter-docker
Dockerfiles for images used as part of the Orbyter toolset
RenaissanceEngineering/PDEsByNNs
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
RenaissanceEngineering/prefect
The easiest way to automate your data
RenaissanceEngineering/pushgp-art
Using PushGP to evolve Compositional Pattern Producing Networks to create art in Clojure
RenaissanceEngineering/pytorch-cppn-gan
An experiments with Compositional Pattern Producing Networks and Generative Adversarial Networks.
RenaissanceEngineering/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
RenaissanceEngineering/resume
LaTeX resume format
RenaissanceEngineering/somepackage
Show how to structure a Python project.
RenaissanceEngineering/stackbit-theme-azimuth
Azimuth is a sleek SaaS theme for Stackbit
RenaissanceEngineering/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.
RenaissanceEngineering/stylegan2
StyleGAN2 - Official TensorFlow Implementation with practical improvements
RenaissanceEngineering/system_design
Preparation links and resources for system design questions
RenaissanceEngineering/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
RenaissanceEngineering/time_series_forecasting_pytorch
time series forecasting using pytorch，including ANN,RNN,LSTM,GRU and TSR-RNN，experimental code
RenaissanceEngineering/tufte-latex
A Tufte-inspired LaTeX class for producing handouts, papers, and books
RenaissanceEngineering/YOLO_V3_from_scratch_colab
Implementing YOLOV3 on google colab