liqi (AlphaQi)

AlphaQi

Geek Repo

Company:Nangjing University of Posts and Telecommunications

Location:NanJing

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liqi's repositories

pytorch-cifar

95.16% on CIFAR10 with PyTorch

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6DRepNet

Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.

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baby-llama2-chinese

用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库;24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.

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Billion-scale-semi-supervised-learning

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

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CogVLM

a state-of-the-art-level open visual language model | 多模态预训练模型

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deblur-gan

Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"

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DeblurGAN

Image Deblurring using Generative Adversarial Networks

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DeblurGAN-pytorch

An easy-to-read implementation of DeblurGAN

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Delta_Age_AdaIN

DAA: A Delta Age AdaIN operation for age estimation via binary code transformer (CVPR2023)

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detectorch

Detectorch - detectron for PyTorch

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DPR

Code for Deep Single-image Portrait Image Relighting

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External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

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faceswap

Deepfakes Software For All

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Faceswap-Deepfake-Pytorch

Faceswap with Pytorch or DeepFake with Pytorch

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frvt

Repository for the Face Recognition Vendor Test (FRVT)

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ISDA-for-Deep-Networks

An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.

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MAML-in-pytorch

Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400

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MiniGemini

Official implementation for Mini-Gemini

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ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

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python--

总结-改进-汇总

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Qwen2-VL

Qwen2-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

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RandWireNN

Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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stanford_alpaca

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

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trojans-face-recognizer

Code and model for the winner team 'trojans' in ICCV19-Lightweight Face Recognition Challenge

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