yang shuang (bruceyang2012)

bruceyang2012

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Company:Sensetime Research

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yang shuang's repositories

Face-detection-with-mobilenet-ssd

Face detection with mobilenet-ssd written by tf.keras.

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

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baipiao_jianying

白嫖剪映的语音识别(学习分享)

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bruceyang2012.github.io

bruceyang's blog

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Circle-Loss

Tensorflow2 implementation of CircleLoss. Support class-level, sparse class-level, pair-wise labels

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Deep_Hierarchical_Classification

PyTorch Implementation of Deep Hierarchical Classification for Category Prediction in E-commerce System

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ImageBind

ImageBind One Embedding Space to Bind Them All

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imageclassification

General Image Classification Code base

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Java

27天成为Java大神

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LeetcodeTop

汇总各大互联网公司容易考察的高频leetcode题🔥

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NExT-GPT

Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model

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OCR

OCR Projects

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PromptDet

PromptDet: Expand Your Detector Vocabulary with Uncurated Images

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SDBI

Simple Dynamic Batching Inference

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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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so-vits-svc

SoftVC VITS Singing Voice Conversion

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stable-diffusion-webui

Stable Diffusion web UI

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This-repo-has-798-stars

这个仓库有798个star,不信你试试

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YOLOC

🚀🚀🚀YOLOC is Combining different modules to build an different Object detection model.Including YOLOv3、YOLOv4、Scaled_YOLOv4、YOLOv5、YOLOv6、YOLOv7、YOLOX、YOLOR、PPYOLO、PPYOLOE

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yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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YOLOv5-Multibackbone-Compression

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming) and Quantization (MQBench) Compression Tool Box.

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YOLOv6

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

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yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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