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

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

QLoRA: Efficient Finetuning of Quantized LLMs

This repository contains demos I made with the Transformers library by HuggingFace.

MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Jupyter notebooks for the Natural Language Processing with Transformers book

LLM Finetuning with peft

Practical course about Large Language Models.

groq-api-cookbook

Quick, visual, principled introduction to pytorch code through five colab notebooks.

Prune a model while finetuning or training.

Software design principles for machine learning applications

A repository for all ZenML projects that are specific production use-cases.

Dino V2 for Classification, PCA Visualization, Instance Retrival: https://arxiv.org/abs/2304.07193

All Homeworks for TinyML and Efficient Deep Learning Computing 6.5940 • Fall • 2023 • https://efficientml.ai

[TMLR] Public code repo for paper "A Single Transformer for Scalable Vision-Language Modeling"

Conference schedule, top papers, and analysis of the data for NeurIPS 2023!

Learning PyTorch through the D2L book. A series of notebooks for the same

Official implementation for LaCo (EMNLP 2024 Findings)