Muzhi Zhu

Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching

Codex skill for generating research paper explainer videos from PDFs

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面向 AI 视频自动化创作的 Skill 集合，聚焦 `HyperFrames` 工作流。 仓库目标：让创作者可以直接复用技能文档、脚本和示例，快速产出稳定视频。

[ICCV'25] Unified Open-World Segmentation with Multi-Modal Prompts

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An in-the-wild benchmark for AI agents in the OpenClaw Environment.

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Visualize PyTorch tensors with a single line of code.

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Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Unify Efficient Fine-Tuning of 100+ LLMs

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

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Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

End-to-End Object Detection with Transformers

Data Mining Class Project: Million Song Dataset

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

PyTorch code for SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised DA (ICCV 2021)

FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation (CVPR 2021)

A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Labs of CSAPP

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TensorFlow code and pre-trained models for BERT

Contrastive Language-Image Pretraining

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Models and examples built with TensorFlow

Baseline system for Automated Audio Captioning task (Task 6) in DCASE 2021 Challenge

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微调 Inception-ResNet-V2, 解决 AI Challenger 2017 场景分类问题。

This repository implements the the encoder and decoder model with attention model for OCR

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

Code for the paper: Audio-Visual Scene Analysis with Self-Supervised Multisensory Features

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Implementation of the convolutional module from the Conformer paper, for use in Transformers

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Audio-Visual Speech Recognition using Sequence to Sequence Models