Nelson Liu

@nelson-liu · User

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@stanfordnlp CS PhD student.

@stanfordnlpStanford, California748 followers104 repositories

Repositories

nelson-liu/llama-recipes

Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger

★ 1Forks 0

nelson-liu/phonesthemes

Code for the paper "Discovering Phonesthemes with Sparse Regularization", to be presented at the NAACL 2018 Workshop on Subword and Character Level Models in NLP.

★ 5PythonForks 1

nelson-liu/paraphrase-id-tensorflow

Various models and code (Manhattan LSTM, Siamese LSTM + Matching Layer, BiMPM) for the paraphrase identification task, specifically with the Quora Question Pairs dataset.

★ 324PythonForks 70

nelson-liu/contextual-repr-analysis

A toolkit for evaluating the linguistic knowledge and transferability of contextual representations. Code for "Linguistic Knowledge and Transferability of Contextual Representations" (NAACL 2019).

★ 212PythonForks 30

nelson-liu/rbloom-gcs

A fast, simple and lightweight Bloom filter library for Python, implemented in Rust.

★ 1RustForks 1

nelson-liu/datatrove

Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.

★ 1PythonForks 0

nelson-liu/flatten_gigaword

Dump the text of the Gigaword dataset into a single file, for use with language modeling (and other!) toolkits

★ 23PythonForks 4

nelson-liu/downshift

🏎 A set of primitives to build simple, flexible, WAI-ARIA compliant React autocomplete, combobox or select dropdown components.

★ 1JavaScriptForks 0

nelson-liu/transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

★ 1PythonForks 0

nelson-liu/ReadabiliPy

A simple HTML content extractor in Python. Can be run as a wrapper for Mozilla's Readability.js package or in pure-python mode.

★ 1HTMLForks 0

nelson-liu/tokenizers

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

★ 1Forks 0

nelson-liu/word2color

Given a description of a color, return its closest standard HTML4 color.

★ 7PythonForks 2

nelson-liu/alpaca_eval

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

★ 0Forks 1

nelson-liu/toma

Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory

★ 0PythonForks 0

nelson-liu/vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

★ 0Forks 0

nelson-liu/pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

★ 0Forks 0

nelson-liu/simple-wikidata-db

A set of Python scripts for preprocessing the Wikidata JSON dump and running simple queries in an efficient manner.

★ 0PythonForks 0