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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

20201130-ece

Teleportation et BB84

aaveflashloan

1st Place 🏆 in the Gitcoin Web3 World Aave Hackathon. A bot that does arbitrage between two Uniswap exchanges using an Aave Flashloan as the capital for initial trade. Got a nice write up from the Aave team - https://medium.com/aave/gitcoin-x-aave-hackathon-recap-f61d24af2cb

aimoneyhunter

ai副业赚钱大集合，教你如何利用ai做一些副业项目，赚取更多额外收益。

arbibot

Arbitrage bot to get profits from multiple exchanges (cex and dex) developed in Go

autogen

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

autogen-agi

AutoGen AGI: Advancing AI agents using AutoGen towards AGI capabilities. Explore cutting-edge enhancements in group chat dynamics, decision-making, and complex task proficiency. Join our journey in shaping AI's future!

conditional_density_estimation

Package implementing various parametric and nonparametric methods for conditional density estimation

cookbook

The Data Engineering Cookbook

data-science--cheat-sheet

Cheat Sheets

data-science-best-practices

The goal of this repository is to enable data scientists and ML engineers to develop data science use cases and making it ready for production use. This means focusing on the versioning, scalability, monitoring and engineering of the solution.

data-science-interviews

Data science interview questions and answers

data-science-question-answer

A repo for data science related questions and answers

datascience-recruitment-challenges

Home assignments for data science positions

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

defi-developer-road-map

DeFi Developer roadmap is a curated Ethereum Developer handbook which includes a list of the best tools for DApps, development resources and lifehacks.

edu_wandb

Educational materials on deep learning by Weights & Biases

memgpt

Teaching LLMs memory management for unbounded context 📚🦙

mev-bor

nars-gpt

GPT-based language channel for NARS (ONA)

next-gen-bots

A General advanced web Bot and bot army. can be used and modified for anything

opennars_docs

rfutbin

R package to get prices and stats for FIFA Ultimate Team players in Futbin.

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

subway

A practical example on how to perform sandwich attacks on Ethereum

uniswap-arbitrage-analysis

Uniswap arbitrage problem analysis

variational-lstm-autoencoder

Lstm variational auto-encoder API for time series anomaly detection and features extraction

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

yotta_lead_scoring

A lead scoring project for the Yotta academy MLE bootcamp