12 Weeks, 24 Lessons, IoT for All!

FinRL®: Financial Reinforcement Learning. 🔥

A replica of the AlphaZero methodology for deep reinforcement learning in Python

This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated and historical market data. This was inspired by OpenAI Gym …

Material for Antoine Savine's Computational Finance Lectures at Copenhagen University & Kings College London

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

Simple XLNet implementation with Pytorch Wrapper

Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SP…

A python tool to visualise game animations

Image Caption using keras, VGG16 pretrained model, CNN and RNN

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

Educational resources related to ArviZ

Automagically remove trends from time-series data

A tutorial for Automatic Text Summarization using TextRank algorithm.

Getting start with PySpark and MLlib

Hyperparameter Optimization for Keras Models

This tutorial is originally published by William Koehrsen at https://towardsdatascience.com/time-series-analysis-in-python-an-introduction-70d5a5b1d52a

Transfer pre-trained VRN model from torch to Keras/Tensorflow

Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling

Keras implementation of Deeplab v3+ with pretrained weights

Support content for my blog

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

Python codes for common Machine Learning Algorithms

Collecting and analysing open data stuff

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

Some sample IPython notebooks for scikit-learn