Get up and running with Llama 3.3, Phi 4, Gemma 2, and other large language models.

[EMNLP 2019 Workshop] Exploiting BERT for End-to-End Aspect-based Sentiment Analysis

Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.

Crawl & Visualize ICLR 2023 Data from OpenReview

Scrape papers from OpenReview using OpenReview API

Public & Community-shared datasets for Aspect-based sentiment analysis and Text Classification

A curated list of awesome resources, tools, and other shiny things for LLM prompt engineering.

Class for Aspect-term extraction and Aspect-based sentiment analysis with BERT and Adapters

Aspect Term Extraction and Aspect-based Sentiment Analysis on SemEval-2014 task4

All the projects related to Llama

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

VIP cheatsheets for Stanford's CS 230 Deep Learning

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Code and documentation to train Stanford's Alpaca models, and generate the data.

The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

Code for the paper "Language Models are Unsupervised Multitask Learners"

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Code for the manim-generated scenes used in 3blue1brown videos

Educational materials on deep learning by Weights & Biases

Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Notes about "Attention is all you need" video (https://www.youtube.com/watch?v=bCz4OMemCcA)

A complete computer science study plan to become a software engineer.

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

[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"