Lanxiang Hu (snyhlxde1)

snyhlxde1

Geek Repo

Location:San Diego, CA

Home Page:https://snyhlxde1.github.io

Twitter:@Lanxiang_Hu

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Lanxiang Hu's repositories

beautiful-jekyll

✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

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aihwkit

IBM Analog Hardware Acceleration Kit

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alpaca-lora

Instruct-tune LLaMA on consumer hardware

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bitsandbytes

8-bit CUDA functions for PyTorch

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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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flash-attention

Fast and memory-efficient exact attention

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llama

Inference code for LLaMA models

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LLaMA-Adapter

Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

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memit

Mass-editing thousands of facts into a transformer memory (ICLR 2023)

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MS-AMP-Examples

Examples for MS-AMP package.

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once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

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pytorch-cifar

95.47% on CIFAR10 with PyTorch

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qiskit-machine-learning

Quantum Machine Learning

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qiskit-terra

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and algorithms.

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rome

Locating and editing factual associations in GPT (NeurIPS 2022)

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smart-meter-data-catalog

Listing of datasets and code samples related to Smart Meter

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stanford_alpaca

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

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TensorRT

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

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tensorRT_Pro

C++ library based on tensorrt integration

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tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

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torch2trt

An easy to use PyTorch to TensorRT converter

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transformers

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

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unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

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vllm_osd

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

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