Ning Lu (jiangxiluning)

jiangxiluning

Geek Repo

Company:Huawei

Location:ShenZhen

Home Page:http://n-moving.com/

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Ning Lu's starred repositories

Open-Sora

Open-Sora: Democratizing Efficient Video Production for All

Language:PythonLicense:Apache-2.0Stargazers:17364Issues:158Issues:276

mlx

MLX: An array framework for Apple silicon

mamba

Mamba SSM architecture

Language:PythonLicense:Apache-2.0Stargazers:10931Issues:100Issues:341

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Language:PythonLicense:UnlicenseStargazers:7280Issues:298Issues:66

BasicSR

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

Language:PythonLicense:Apache-2.0Stargazers:6338Issues:94Issues:542

camel

🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Language Model Society (NeruIPS'2023) https://www.camel-ai.org

Language:PythonLicense:Apache-2.0Stargazers:4622Issues:55Issues:236

AppAgent

AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.

Language:PythonLicense:MITStargazers:4495Issues:60Issues:73

Amphion

Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.

Language:PythonLicense:MITStargazers:4073Issues:54Issues:118

Efficient-AI-Backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Language:PythonLicense:NOASSERTIONStargazers:3377Issues:54Issues:117

xtuner

An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)

Language:PythonLicense:Apache-2.0Stargazers:2995Issues:30Issues:380

Vim

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

webdataset

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

Language:PythonLicense:BSD-3-ClauseStargazers:2034Issues:21Issues:295

OS-Copilot

An self-improving embodied conversational agent seamlessly integrated into the operating system to automate our daily tasks.

Language:PythonLicense:MITStargazers:1344Issues:19Issues:22

awesome-attention-mechanism-in-cv

Awesome List of Attention Modules and Plug&Play Modules in Computer Vision

Language:PythonLicense:MITStargazers:978Issues:15Issues:4

Switchable-Normalization

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

mamba.py

A simple and efficient Mamba implementation in PyTorch and MLX.

Language:PythonLicense:MITStargazers:712Issues:4Issues:23

WeightStandardization

Standardizing weights to accelerate micro-batch training

annotated-mamba

Annotated version of the Mamba paper

Language:Jupyter NotebookLicense:MITStargazers:426Issues:22Issues:3

MultiModalMamba

A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever.

Language:PythonLicense:MITStargazers:412Issues:8Issues:3

Personal_LLM_Agents_Survey

Paper list for Personal LLM Agents

awesome-normalization-techniques

Papers for normalization techniques, released codes collections.

Language:PythonStargazers:223Issues:19Issues:0

keras-lmu

Keras implementation of Legendre Memory Units

Language:PythonLicense:NOASSERTIONStargazers:205Issues:21Issues:27

VidProM

VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models

PIMoG-An-Effective-Screen-shooting-Noise-Layer-Simulation-for-Deep-Learning-Based-Watermarking-Netw

This is the code for paper: ``PIMoG : An Effective Screen-shooting Noise-Layer Simulation for Deep-Learning-Based Watermarking Network. .Fang, Han, et al. Proceedings of the 30th ACM International Conference on Multimedia. 2022.

Language:PythonLicense:GPL-3.0Stargazers:46Issues:0Issues:0

A-Novel-Two-stage-Separable-Deep-Learning-Framework-for-Practical-Blind-Watermarking

The codes for the paper "A Novel Two-stage Separable Deep Learning Framework for Practical Blind Watermarking"

Language:PythonStargazers:40Issues:0Issues:0

Griffin

Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"

Language:PythonLicense:MITStargazers:39Issues:5Issues:4

differentiable-jpeg

Code for "JPEG-resistant Adversarial Images"

Language:Jupyter NotebookStargazers:38Issues:3Issues:2