zhmeishi

stablediffusion

High-Resolution Image Synthesis with Latent Diffusion Models

alpaca-lora

Instruct-tune LLaMA on consumer hardware

llama2.c

Inference Llama 2 in one file of pure C

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

OLMo

Modeling, training, eval, and inference code for OLMo

grok

LongLoRA

Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)

helm

Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in Holistic Evaluation of Text-to-Image Models (HEIM) (https://arxiv.org/abs/2311.04287).

requests-ip-rotator

A Python library to utilize AWS API Gateway's large IP pool as a proxy to generate pseudo-infinite IPs for web scraping and brute forcing.

LLMTest_NeedleInAHaystack

Doing simple retrieval from LLM models at various context lengths to measure accuracy

CRATE

Code for CRATE (Coding RAte reduction TransformEr).

test

Measuring Massive Multitask Language Understanding | ICLR 2021

LongLM

[ICML'24] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Long-Context-Data-Engineering

Implementation of paper Data Engineering for Scaling Language Models to 128K Context

ChunkLlama

[ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"

InfiniteBench

Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718

clone-anonymous-github

Easily download anonymous Github repositories from https://anonymous.4open.science/ with a GUI interface

amago

a simple and scalable agent for training adaptive policies with sequence-based RL

COGS

grokking

unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"

progress-measures-paper

decision-pretrained-transformer

Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learning.

grokking

Implementation of OpenAI's 'Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets' paper.

NRA_tax_filing

最新税季 UW-Madison报税指南

CoBSAT

Implementation and dataset for paper "Can MLLMs Perform Text-to-Image In-Context Learning?"

Foundation-Model_Multitask

k_conv_basis

Llama3 for Conv Basis

com_icl

icl-norm

LLM_Compose