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awesome-full-stack-machine-courses

Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.

common-workflow-language

Repository for the CWL standards. Use https://cwl.discourse.group/ for support 😊

corex_topic

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

cs4243_2022

Computer Vision and Pattern Recognition, NUS CS4243, 2022

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

data-science-interviews

Data science interview questions and answers

data-structures-and-algorithms-in-python

Exercise solutions for Data Structures and Algorithms in Python(Michael T. Goodrich)

dcai-lab

Lab assignments for Introduction to Data-Centric AI, MIT IAP 2023 👩🏽‍💻

dmls-book

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

examples

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

feature-engineering-for-time-series-forecasting

ganhacks

starter from "How to Train a GAN?" at NIPS2016

graph-neural-network-course

Free hands-on course about Graph Neural Networks using PyTorch Geometric.

intro-to-data-science

jupyter-c-kernel

Minimal Jupyter C kernel

lectures

Oxford Deep NLP 2017 course

litstudy

Using the power of Python and Jupyter notebooks to automate analysis of scientific literature

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

machine-learning-interview

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

ml-youtube-courses

📺 A place to discover the latest machine learning courses on YouTube.

mt3002-summer2020

Video lectures, slides and code for "The Mathematics and Statistics of Infectious Disease Outbreaks" course at Stockholm University

nsiete

Repository with template

ollama

Get up and running with Llama 2 and other large language models locally

python

All Algorithms implemented in Python

recsys_course

Course on recommender systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2022-2023.

som-tsp

Solving the Traveling Salesman Problem using Self-Organizing Maps

sparklearning

A comprehensive Spark guide collated from multiple sources that can be referred to learn more about Spark or as an interview refresher.

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

studijne-materialy-fiit

Repozitar pre INFO a PKSS odbory