brando90

ultimate-utils

Brando's utils

ultimate-pycoq

a realiable python-coq

pycoq

python API to coq-serapi

brandomiranda

CS-324-Advances-in-Foundation-models

evaporate

This repo contains data and code for the paper "Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes"

proverbot9001

reasoning-community-stanford-mercury

.dotfiles

beyond-scale-language-data-diversity

alpaca_farm

A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.

cheerios

Formally verified Coq serialization library with support for extraction to OCaml

gpt4all

gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue

jq

Command-line JSON processor

langchain

⚡ Building applications with LLMs through composability ⚡

llama_index

LlamaIndex (GPT Index) is a data framework for your LLM applications

lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

long_llama

LongLLaMA is a large language model capable of handling long contexts. It is based on OpenLLaMA and fine-tuned with the Focused Transformer (FoT) method.

math-lm

Megatron-LM

Ongoing research training transformer models at scale

metalib

The Penn Locally Nameless Metatheory Library

nanoGPT

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

parsel

Code for Parsel 🐍 - generate complex programs with language models

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Portal-to-ISAbelle

https://albertqjiang.github.io/Portal-to-ISAbelle/

pytorch-meta-dataset

A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification

software-foundations-solutions

My solutions to the software foundations book

stanford_alpaca

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

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

x-transformers

A simple but complete full-attention transformer with a set of promising experimental features from various papers