LI ZHENG (hsqmlzno1)

hsqmlzno1

Geek Repo

Company:Amazon Search

Location:USA

Home Page:https://hsqmlzno1.github.io/

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LI ZHENG's starred repositories

Font-Awesome

The iconic SVG, font, and CSS toolkit

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FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

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trl

Train transformer language models with reinforcement learning.

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open_llama

OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

latexify_py

A library to generate LaTeX expression from Python code.

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lm-evaluation-harness

A framework for few-shot evaluation of language models.

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RedPajama-Data

The RedPajama-Data repository contains code for preparing large datasets for training large language models.

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GraphEmbedding

Implementation and experiments of graph embedding algorithms.

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PyTorch-BigGraph

Generate embeddings from large-scale graph-structured data.

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alpa

Training and serving large-scale neural networks with auto parallelization.

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RapidFuzz

Rapid fuzzy string matching in Python using various string metrics

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dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

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graphvite

GraphVite: A General and High-performance Graph Embedding System

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test

Measuring Massive Multitask Language Understanding | ICLR 2021

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ClusterGCN

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

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GENRE

Autoregressive Entity Retrieval

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lightKG

基于Pytorch和torchtext的知识图谱深度学习框架。

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shaDow_GNN

NeurIPS 2021: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architectures

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SparseLinear

A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently

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stopwords-ja

Japanese stopwords collection

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FolkScope

Codes and Datasets for the ACL2023 Findings Paper: FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense

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multilingual_keyphrase_generation

[NAACL'22-Findings] Dataset for "Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training"

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