The code used to train and run inference with the ColPali architecture.

The n-gram Language Model

EPFL Course - Optimization for Machine Learning - CS-439

Shortest solutions for CS231n 2021-2024

The Abstraction and Reasoning Corpus

🌐 Jekyll is a blog-aware static site generator in Ruby

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

Open-source scientific and technical publishing system built on Pandoc.

a better dotenv–from the creator of `dotenv`

SciPy library main repository

skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.

Create markdown-backed Kanban boards in Obsidian.

QLoRA: Efficient Finetuning of Quantized LLMs

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DN…

Helpers and such for working with Lambda Cloud

A Gradio web UI for Large Language Models.

Training open neural machine translation models

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…

Animation engine for explanatory math videos

Public facing notes page

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supportin…

The official Meta Llama 3 GitHub site

Perf monitoring CLI tool for Apple Silicon

Efficient few-shot learning with cross-encoders.

Course repository for the session "Hands-on Transformers: Fine-Tune your own BERT and GPT" of the Data Science Summer School 2023

Easy to use, state-of-the-art Neural Machine Translation for 100+ languages

An autoregressive character-level language model for making more things

A Native-PyTorch Library for LLM Fine-tuning

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory