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a-flashbot-in-the-pan

Tools for measuring MEV extraction through Flashbots (IMC 2022).

algorithmictrading

This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.

alphanet

Stock factor mining with CNN and GRU.

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-early-exiting

A curated list of Early Exiting papers, benchmarks, and misc.

awesome-mev

A list of MEV resources with a focus on past research papers/talks.

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

c-binance-future-quant

low-cost, high-efficiency, easy-to-implement

chatu

datasetcondensation

decomprc

An original implementation of ACL 2019, "Multi-hop Reading Comprehension through Question Decomposition and Rescoring"

git-test

gnn-model-explainer

gnn explainer

gpquant

Mining technical factors based on symbolic regression via genetic algorithm

hello-world

test

howtocook

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese).

kagnet

Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)

mev-inspect-py

🔎 an MEV inspector for Ethereum 🔎

natural-questions

nq_model

multi-spans extraction model based on BERT

os_course_exercises

Exercises for OS course

pairtrading_copula_backtrader

This trading strategy deploy the copula model to define the divergence of two correlated asset. The backtesting system is built on backtrader under Python

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

quant-books

independent and free

thu-ppt-theme

清华主题PPT模板

transformers-ner

Pytorch-Named-Entity-Recognition-with-transformers

use-guide

SSR客户端使用教程、SSR服务端搭建教程

watermark-robustness-toolbox

The official implementation of the IEEE S&P`22 paper "SoK: How Robust is Deep Neural Network Image Classification Watermarking".