Pinned Repositories
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
jonathanGGa's Repositories
jonathanGGa/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
jonathanGGa/20201130-ECE
Teleportation et BB84
jonathanGGa/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
jonathanGGa/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。
jonathanGGa/arbibot
Arbitrage bot to get profits from multiple exchanges (cex and dex) developed in Go
jonathanGGa/autogen
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
jonathanGGa/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!
jonathanGGa/Conditional_Density_Estimation
Package implementing various parametric and nonparametric methods for conditional density estimation
jonathanGGa/Cookbook
The Data Engineering Cookbook
jonathanGGa/Data-Science--Cheat-Sheet
Cheat Sheets
jonathanGGa/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.
jonathanGGa/data-science-interviews
Data science interview questions and answers
jonathanGGa/data-science-question-answer
A repo for data science related questions and answers
jonathanGGa/datascience-recruitment-challenges
Home assignments for data science positions
jonathanGGa/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.
jonathanGGa/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.
jonathanGGa/edu_wandb
Educational materials on deep learning by Weights & Biases
jonathanGGa/MemGPT
Teaching LLMs memory management for unbounded context 📚🦙
jonathanGGa/mev-bor
jonathanGGa/NARS-GPT
GPT-based language channel for NARS (ONA)
jonathanGGa/next-gen-bots
A General advanced web Bot and bot army. can be used and modified for anything
jonathanGGa/openNARS_docs
jonathanGGa/rfutbin
R package to get prices and stats for FIFA Ultimate Team players in Futbin.
jonathanGGa/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
jonathanGGa/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.
jonathanGGa/subway
A practical example on how to perform sandwich attacks on Ethereum
jonathanGGa/uniswap-arbitrage-analysis
Uniswap arbitrage problem analysis
jonathanGGa/Variational-Lstm-Autoencoder
Lstm variational auto-encoder API for time series anomaly detection and features extraction
jonathanGGa/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
jonathanGGa/yotta_lead_scoring
A lead scoring project for the Yotta academy MLE bootcamp