Hertz (isLinXu)

isLinXu

Geek Repo

Company:@Tencent

Location:China

Home Page:https://islinxu.github.io/

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Hertz's repositories

model-metrics-plot

🔨🔨🔨(mmplot)used to draw graphs of multiple index parameters such as algorithm accuracy and speed of multiple deep learning models.

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vision-process-webui

💡💡💡awesome compute vision app in gradio

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paper-list

autoupdate paper list

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VALSE-WorkShop

This project is an unofficial summary of the resources related to VALSE and its annual seminar. Its main purpose is to more facilitate your communication and learning, and we also welcome your additions and suggestions.

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DatasetMarkerTool

🔨🔨🔨Tool for making model training data set

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CVProcessLib

Image processing library based on OpenCV visual development kit

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paper-read-notes

paper-read-notes

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awesome-course-notes

awesome course notes

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survey-read-notes

Read Survey and Notes

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datasets-read-notes

datasets-read-notes

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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advances-in-vision-notes

advances-in-vision-notes

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agentlego

Enhance LLM agents with versatile tool APIs

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HunyuanDiT

Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

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MuseV

MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising

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open-prompts

awesome open prompts

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Open-Sora-Plan

This project aim to reproducing Sora (Open AI T2V model), but we only have limited resource. We deeply wish the all open source community can contribute to this project.

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TNN

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and per

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torchtune

A Native-PyTorch Library for LLM Fine-tuning

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Video-MME

✨✨Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

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