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Abhishek Kumar's Projects

awesome-quantum-machine-learning icon awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

blockchain-development-resources icon blockchain-development-resources

The contents of this repository will help you launch a career in Blockchain development. How to deploy Smart contracts on Ethereum, build DApps, DeFi, DAO, NFT and Token protocol.

coinexchange_cryptoexchange_java icon coinexchange_cryptoexchange_java

The best Java open source crypto currency exchange platform, bitcoin exchange based on Java | BTC exchange | ETH exchange | digital currency exchange | trading platform | matching trading engine. This project is based on the development of Spring Cloud microservices and can be used to build and secondary development of digital currency exchanges. It has a complete source code for matching trading engines, back-end management (back-end + front-end), front-end (transaction page, activity page, personal center, etc.), Android APP source code, Apple APP source code, currency wallet RPC source code. Contact Email: [email protected]

complete-dsa-preparation icon complete-dsa-preparation

This is A complete DSA preparation Course. A DSA self-paced course for ultimate Interview and Placement Preparation

core icon core

GO implementation of the Terra Protocol

cosmos-sdk icon cosmos-sdk

:chains: A Framework for Building High Value Public Blockchains :sparkles:

cpptrader icon cpptrader

High performance components for building Trading Platform such as ultra fast matching engine, order book processor

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

defi icon defi

Tools for use in DeFi. Impermanent Loss calculations, staking and farming strategies, coingecko and pancakeswap API queries, liquidity pools and more

econml icon econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

educative.io_courses icon educative.io_courses

this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack

exchange-core icon exchange-core

Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.

finrl icon finrl

Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥

foodmatch icon foodmatch

Batching and Matching for Food Delivery in Dynamic Road Networks

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