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Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Quant Invest Lab is a project aimed to provide a set of basic tools for quantitative experiments. By quantitative experiment I mean trying to build your own set of investments solution.
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
Schedule a series of spot fleets to perform your AWS DeepRacer training with a single line.
Creates an AWS DeepRacing training environment which can be deployed in the cloud, or locally on Ubuntu Linux, Windows or Mac.
This framework makes it easier to create and maintain reward functions for AWS DeepRacer, so you spend more time on machine learning rather than writing lots of Python code! It provides geometry fu…
Details on how to get Binance public data
Extract from AWS DeepRacer Robomaker Bundle
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
Replicate your Key Value Store across your network, with consistency, persistance and performance.
Micro second messaging that stores everything to disk
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel t…
C++ library for Binance Futures and Spot. Supports REST and WebSockets, using Boost::Beast with C++17.
C++ project template : CMake, Test, Travis CI, Appveyor, CodeCoverage, Doxygen
Non-trivial C++ project example using CMake and Boost unit test framework
This project is aimed at jump-starting a C/C++ project that can build libraries, binaries and have a working unit test suite. It uses CMake build system and is deliberately completely minimal.
Race-line calculation of a DeepRacer track
Cracking the Coding Interview 6th Ed. C++ Solutions
Bayesian Modeling and Probabilistic Programming in Python
Portfolio and risk analytics in Python
Unofficial APIs for Investing.com website.
Mean and Covariance Matrix Estimation under Heavy Tails
Quantitative research and educational materials
Statistical Machine Intelligence & Learning Engine
Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.
Algorithms and Data Structures implemented in Java
Open source software that helps you create and deploy high-frequency crypto trading bots