quziyan

quziyan

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Location:Beijing

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quziyan's repositories

Post-Processing-for-Matting

We often change background after matting. But due to the matting precision, the edge of body, especially hair, often leak pixels contain background, so we need some post-processing like this.

NPairLoss

MPI-CAFFE implementation of <Improved Deep Metric Learning with Multi-class N-pair Loss Objective>

MultiClassDataLayer

These code follow the data providers in papers: [Learning a Metric Embedding for Face Recognition using the Multibatch Method] and [Improved Deep Metric Learning with Multi-class N-pair Loss Objective]

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AI-Chip

A list of ICs and IPs for AI, Machine Learning and Deep Learning.

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aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

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awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

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caffe

Caffe: a fast open framework for deep learning.

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Chain-of-ThoughtsPapers

A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

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chatgpt-api

Node.js client for the unofficial ChatGPT API. 🔥

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ChatGPTPapers

Must-read papers, related blogs and API tools on the pre-training and tuning methods for ChatGPT.

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corex_topic

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

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DataTransformerLayer

cuda version data augumentation layer in caffe

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EmoBank

This repository contains EmoBank, a large-scale text corpus manually annotated with emotion according to the psychological Valence-Arousal-Dominance scheme.

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Focal-Loss

The implementation of Focal-Loss Using Caffe

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Chinese-ChatLLaMA

中文LLaMA基础模型;中文ChatLLaMA对话模型;NLP预训练/指令微调数据集

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horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and MXNet.

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lsoftmax-pytorch

PyTorch implementation Large-Margin Softmax (L-Softmax) loss

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Luotuo-Chinese-LLM

骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技

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networkx

Network Analysis in Python

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pyblur

blurring routines

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pytorch-histogram-loss

PyTorch implementation for Histogram Loss

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SynthTabNet

Dataset of PNG images from synthetically generated table layouts with annotations in JSONL files

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Top2Vec

Top2Vec learns jointly embedded topic, document and word vectors.

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