nshen7

nshen7's Stars

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python278k6.6k30746.6k

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python195k5.9k1.5k45.8k

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX50.7k5622074.9k

• Avik-Jain/100-Days-Of-ML-Code

  100 Days of ML Coding

  45.6k2.4k010.6k

• Ebazhanov/linkedin-skill-assessments-quizzes

  Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

  28.5k36888913.3k

• AI4Finance-Foundation/FinGPT

  FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

  Language:Jupyter Notebook14.1k2571052k

• mrdbourke/pytorch-deep-learning

  Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

  Language:Jupyter Notebook11.2k1192073.3k

• khangich/machine-learning-interview

  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

  9.9k22341.6k

• chiphuyen/machine-learning-systems-design

  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

  Language:HTML9.2k302101.4k

• soulmachine/machine-learning-cheat-sheet

  Classical equations and diagrams in machine learning

  Language:TeX7.5k385151.3k

• faridrashidi/kaggle-solutions

  🏅 Collection of Kaggle Solutions and Ideas 🏅

  Language:HTML5k8781.9k

• alirezadir/Machine-Learning-Interviews

  This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

  Language:Jupyter Notebook4.9k785869

• MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning

  This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

  Language:MATLAB4k380530

• youssefHosni/Data-Science-Interview-Questions-Answers

  Curated list of data science interview questions and answers

  3.5k605796

• andrewekhalel/MLQuestions

  Machine Learning and Computer Vision Engineer - Technical Interview Questions

  3.1k282511

• rbhatia46/Data-Science-Interview-Resources

  A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

  2.8k466664

• preslavmihaylov/booknotes

  A collection of my book notes on various subjects, mainly computer science

  Language:Java2.3k568513

• EmilHvitfeldt/r-color-palettes

  Comprehensive list of color palettes available in R ❤️🧡💛💚💙💜

  Language:R1.5k3653139

• RLHFlow/RLHF-Reward-Modeling

  Recipes to train reward model for RLHF.

  Language:Python958203171

• mrdbourke/simple-local-rag

  Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.

  Language:Jupyter Notebook530123159

• shafaypro/CrackingMachineLearningInterview

  A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews

  44881112

• Leeroo-AI/mergoo

  A library for easily merging multiple LLM experts, and efficiently train the merged LLM.

  Language:Python41341426

• ad-freiburg/large-qa-datasets

  A collection of large question answering datasets

  3397036

• Psycoy/MixEval

  The official evaluation suite and dynamic data release for MixEval.

  Language:Python22713437

• Devinterview-io/data-scientist-interview-questions

  🟣 Data Scientist interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.

  441011

• sara-vanerp/bayesreg

  R package to perform Bayesian regularization using Stan.

  Language:C++25321

• Devinterview-io/mlops-interview-questions

  🟣 MLOps interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.

  23101

• nshen7/alpha-gfn

  A deep reinforcement learning framework for generating formulaic alpha factors for quantitative investment, powered by GFlowNet, implemented in Python&PyTorch.

  Language:Jupyter Notebook15122

• boyiguo1/tpSVG

  Scalable thin plate spline model to analyze spatially resolved transcirptomics data

  Language:R22120

• JavierMtzRdz/stat251_lab-presentations

  This repository contains the laboratory presentations for STAT 251 (Elementary Statistics), section L1H.

  Language:CSS1100