dali1981 Goto Github PK

algo_trading_and_quant_strategies

Supplemental Material for Algorithmic Trading and Quantitative Strategies

artificial-intelligence-for-trading

Content for Udacity's AI in Trading NanoDegree.

aspnetcore-wishlist

Project to create a new ASP.NET Core wishlist application from scratch.

awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

carnd-behavioral-cloning-p3

Starting files for the Udacity CarND Behavioral Cloning Project

carnd-extended-kalman-filter-project

Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project

carnd-unscented-kalman-filter-project

Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project

coling2018

data and code for coling2018 paper

conv-tt-lstm

cppnd-memory-management-chatbot

cppnd-system-monitor

Student repository for the CppND OOP course project

cs224u

Code for Stanford CS224u

data-structures-algorithms

Udacity's Data Structure and Algorithm Nanodegree

decanlp

The Natural Language Decathlon: A Multitask Challenge for NLP

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

dl_pytorch

Code for the Deep Learning with PyTorch lesson

flint

A Time Series Library for Apache Spark

fpinscala

Code, exercises, answers, and hints to go along with the book "Functional Programming in Scala"

frdomain

Code repo for Functional and Reactive Domain Modeling

ggplot

ggplot for python

gym-jetson

ibkr-api-rust

Port of Interactive Broker's trading API written in Rust

lagom-java-sbt-chirper-example

libtorch_custom_dataset

machine-learning

Content for Udacity's Machine Learning curriculum

mathematical-methods-in-deep-learning-ipython

Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhury with Ananya Ashok, Sujay Narumanchi, Devashish Shankar).

mt-paper-lists

MT paper lists (by conference)