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186501xstatistics

CheatSheet for 18.6501x

2023-ac215

2023 - AC215 , CSCIE-115

apachedrill

app-building-crashcourse

AI App Building Crash Course

armee_ventilator_1.0

Repository for the first ARMEE Ventilator device designs, with PEEP Loop

artms

asl_with_gnns_sam-bodden_brian

Realtime Isolated ASL Gesture Sequence Recognition

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

betaml.jl

Beta Machine Learning Toolkit

big_o

cheatsheet-18.6501x

Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics

cookiecutter-course

Handout materials for our course on CookieCutter at Talk Python Training

data-labeling

Data Labeling Demo

data-versioning

Data Versioning Demo

datascience

edx-materials

Contains public materials for students enrolled in MITx: 6.871x, Machine Learning for Healthcare

esp-discord

C library for making Discord Bots :robot: on the ESP32, packaged as ESP-IDF component

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

functional-programing-primer

juliatutorial

A tutorial for the Julia language inspired to the Python tutorial

llava

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

localrepo

mdp-transform-utils

mitx-6.86x

MITx - 6.86x - Machine Learning with Python-From Linear Models to Deep Learning

mitx-6.86x-machine-learning

Python code written for MIT's Machine Learning course offered on edX

mitx-6.86x-version1

Shareable files for the MIT course Machine Learning with Python - From Linear Models to Deep Learning

mitx_6.86x

Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning

mitx_capstone_1

This is the first cheat-sheet for the MITx Statistics and Datascience capstone exam

mitx_capstone_2

This is the second cheatsheet for the MITx capstone exams for Statistics and Datascience

ml-tutorial

Introduction to ML packages for the 6.86x course