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18s096sciml

18.S096 - Applications of Scientific Machine Learning

ai-job-notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

course-nlp

A Code-First Introduction to NLP course

deeplearningwithtf2.0

Practical Exercises in Tensorflow 2.0 for Ian Goodfellows Deep Learning Book

equity-portfolio-prediction

financial-engineering-baruchmfe-cpp

My solutions for the “C++ Programming for Financial Engineering” Online Certificate. It is a joint project by the Baruch MFE program, Dr. Daniel Duffy and QuantNet.

hw-codes-for-quantnet-online-cpp-course

A collection of self-made solotions to exercises of the online course C++ Programming for Financial Engineering

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。

interview-1

Interview = 简历指南 + LeetCode + Kaggle

leetcode

LeetCode solutions with Chinese explanation & Summary of classic algorithms.

malliavin-weights-computation

The implication of Malliavin weight on the computation of Greeks(Sensitivity parameters for hedging)

markov-chain-monte-carlo-methods

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

pairs_trading_cryptocurrencies_strategy_catalyst

Pairs trading strategy example based on Catalyst

pytorch-deep-learning

Deep Learning with PyTorch

quant-wiki

:book: [整理] Quant Wiki 计划

resume

个人中文简历 Latex 源码 https://hijiangtao.github.io/

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)