Jesse Mu (jayelm)

jayelm

Geek Repo

Company:Stanford University

Location:Stanford, CA

Home Page:https://cs.stanford.edu/~muj/

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Organizations
bccss
haleyhouse

Jesse Mu's repositories

gisting

Learning to Compress Prompts with Gist Tokens - https://arxiv.org/abs/2304.08467

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bad-flamingo

Fool the computer, but not your friends! Adversarial "Quick, Draw"

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compexp

Compositional Explanations of Neurons, NeurIPS 2020 https://arxiv.org/abs/2006.14032

broader-metaphor

Code and data for "Learning Outside the Box: Discourse-level Features Improve Metaphor Identification", NAACL 2019

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lsl

Shaping Visual Representations with Language for Few-shot Classification, ACL 2020

emergent-generalization

Emergent Communication of Generalizations, NeurIPS 2021

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stable-ouroboros

Infinite chains of captions and generations

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acl-style-files

Official style files for papers submitted to venues of the Association for Computational Linguistics

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babyai

BabyAI platform. A testbed for training agents to understand and execute language commands.

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datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

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diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

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ECQA-Dataset

Dataaset Release for Explanations for CommonsenseQA, ACL 2021 Paper

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finetune-gpt2xl

Guide: Finetune GPT2-XL (1.5 Billion Parameters) and finetune GPT-NEO (2.7 B) on a single GPU with Huggingface Transformers using DeepSpeed

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gist-tk-instruct

Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.

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lm-evaluation-harness

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

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minihack

MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research

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minitorch

The full minitorch student suite.

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natural-instructions

Expanding natural instructions

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process-of-elimination

Process of elimination in large language models

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RL4LMs

A modular RL library to fine-tune language models to human preferences

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seqio

Task-based datasets, preprocessing, and evaluation for sequence models.

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torchbeast

A PyTorch Platform for Distributed RL

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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trl

Train transformer language models with reinforcement learning.

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trlx

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

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