CMU-advanced-nlp-schedule.py

main.py

from icalendar import Calendar, Event
from datetime import datetime, timedelta

cal = Calendar()
cal.add("prodid", "-//My Calendar//mxm.dk//")
cal.add("version", "2.0")

classes = [
    (
        1,
        "2025-01-14",
        "Lecture",
        "Intro and Basics",
        "slides: [https://cmu-l3.github.io/anlp-spring2025/static_files/anlp-s2025-01-intro.pdf], code: [https://github.com/cmu-l3/anlp-spring2025-code/tree/main/01_intro], Cho 2015 (Ch. 1)",
    ),
    (
        2,
        "2025-01-16",
        "Lecture",
        "Intro and Basics",
        "slides: [https://cmu-l3.github.io/anlp-spring2025/static_files/anlp-s2025-02-wordrep-textclass.pdf], code: [https://github.com/cmu-l3/anlp-spring2025-code/tree/main/02_wordrep_classification], Cho 2015 (Ch. 2, 3), Karpathy 2024",
    ),
    (
        3,
        "2025-01-21",
        "Lecture",
        "Intro and Basics",
        "Cho 2015 (Ch. 5 up to 5.4.2), Bengio et al 2003, Glorot & Bengio 2010, Kingma & Ba 2015",
    ),
    (
        4,
        "2025-01-23",
        "Lecture",
        "Intro and Basics",
        "Cho 2015 (Ch. 4, 5.5-5.6, 6), Mikolov et al 2010, Cho et al 2014, Weber 2017, Bahdanau et al 2015",
    ),
    (5, "2025-01-28", "Lecture", "Building Blocks", "Attention and Transformers"),
    (5, "2025-01-28", "Recitation", "Building Blocks", "Annotated Transformer"),
    (6, "2025-01-30", "Lecture", "Building Blocks", "Pretraining"),
    (
        7,
        "2025-02-04",
        "Lecture",
        "Building Blocks",
        "Decoding and Generation Algorithms",
    ),
    (7, "2025-02-04", "Recitation", "Building Blocks", "HuggingFace Transformers"),
    (
        8,
        "2025-02-06",
        "Lecture",
        "Building Blocks",
        "In-Context Learning and Prompting",
    ),
    (8, "2025-02-06", "Recitation", "Building Blocks", "LiteLLM and LLM APIs"),
    (9, "2025-02-11", "Lecture", "Building Blocks", "Supervised Fine-Tuning"),
    (10, "2025-02-13", "Lecture", "Building Blocks", "Retrieval and RAG"),
    (10, "2025-02-13", "Recitation", "Building Blocks", "LangChain/LlamaIndex"),
    (11, "2025-02-18", "Lecture", "Building Blocks", "Reinforcement Learning"),
    (12, "2025-02-20", "Lecture", "Building Blocks", "Evaluating Language Generators"),
    (
        13,
        "2025-02-25",
        "Lecture",
        "Building Blocks",
        "Experimental Design and Human Annotation",
    ),
    (
        14,
        "2025-02-27",
        "Lecture",
        "Advanced Topics",
        "Distillation, Quantization, and Pruning",
    ),
    (15, "2025-03-04", "Break", "No Class", "Spring Break"),
    (16, "2025-03-06", "Break", "No Class", "Spring Break"),
    (
        17,
        "2025-03-11",
        "Lecture",
        "Advanced Topics",
        "Ensembling, Merging, and Mixture of Experts",
    ),
    (
        18,
        "2025-03-13",
        "Lecture",
        "Advanced Topics",
        "Advanced Pretraining: Parallelism and Advanced Techniques",
    ),
    (19, "2025-03-18", "Lecture", "Course Project", "Project Discussion"),
    (
        20,
        "2025-03-20",
        "Lecture",
        "Advanced Topics",
        "Advanced Post Training: RLHF Alternatives",
    ),
    (20, "2025-03-20", "Recitation", "Advanced Topics", "OpenRLHF"),
    (21, "2025-03-25", "Lecture", "Advanced Topics", "Meta-Generation Algorithms"),
    (22, "2025-03-27", "Lecture", "Advanced Topics", "Speeding Up Inference"),
    (22, "2025-03-27", "Recitation", "Advanced Topics", "vLLM / SGLang"),
    (23, "2025-04-01", "Lecture", "Advanced Topics", "Long Sequence Models"),
    (24, "2025-04-03", "Break", "No Class", "Spring Carnival"),
    (25, "2025-04-08", "Lecture", "Applications and Society", "Multimodal models"),
    (26, "2025-04-10", "Lecture", "Applications and Society", "Multilingual NLP"),
    (27, "2025-04-15", "Lecture", "Applications and Society", "Agents"),
    (
        28,
        "2025-04-17",
        "Lecture",
        "Applications and Society",
        "Safety and Security: Bias, Fairness, and Privacy",
    ),
    (29, "2025-04-22", "Lecture", "Course Project", "Posters"),
    (30, "2025-04-24", "Lecture", "Course Project", "Posters"),
]

for class_num, date_str, class_type, topic, resources in classes:
    date_obj = datetime.strptime(date_str, "%Y-%m-%d")
    event = Event()
    event.add("summary", f"Class {class_num}: {topic}")
    event.add("dtstart", date_obj)
    event.add("dtend", date_obj + timedelta(hours=1))
    event.add("description", f"Type: {class_type}\nResources: {resources}")
    cal.add_component(event)

f = open("class_schedule.ics", "wb")
f.write(cal.to_ical())
f.close()