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MixBCT

Implementation of MixBCT: Towards Self-Adapting Backward Compatible Training (the other SOTA mathods also be implemented)

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FPPQ

Implementation of NIPS2023: Unleashing the Full Potential of Product Quantization for Large-Scale Image Retrieva

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Center-Hashing

The code of "Deep Hashing with Minimal-Distance-Separated Hash Centers"

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NeuralDB

Database Reasoning Over Text project for ACL paper

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DialogStudio

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI

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Talking-Face_PC-AVS

Code for Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation (CVPR 2021)

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MemoryBank-SiliconFriend

Source code and demo for memory bank and SiliconFriend

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LaMP

Unofficial Reproduction of LaMP benchmark for Personalized LLM

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PlugLM

[ACL2023] Source code for Decouple knowledge from paramters for plug-and-play language modeling

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llama

Inference code for Llama models

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transformers

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

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opqn

Orthonormal Product Quantization Network for Scalable Face Image Retrieval

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cisip-FIRe

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

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fast-reid

SOTA Re-identification Methods and Toolbox

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insightface

State-of-the-art 2D and 3D Face Analysis Project

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ymir

YMIR, a streamlined model development product.

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openimages2coco

Convert Open Images annotations into MS Coco format to make it a drop in replacement

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tf-keras-stacked-convolutional-autoenconder

Implementation of Stacked Convolutional Autoencoder in tf.keras (TensorFlow2.3).

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image_forensics

A general approach to detect tampered and generated image

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TensorFlow-Xception

TensorFlow implementation of the Xception Model by François Chollet

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DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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handwriting-synthesis

Handwriting Synthesis with RNNs ✏️

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WinPcapDemo

WinPcap Demo. Prepare for a project ''Xsniffer'', using to capture and analyse network packets like Wireshark.

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SnifferToolServer

The Sniffer Tool based on WinPcap and QT5.

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