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MachineLP

MachineLP

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Company:MachineLP

Location:xiamen

Home Page:http://blog.csdn.net/u014365862/article/details/78422372

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MachineLP's starred repositories

llama

Inference code for LLaMA models

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ColossalAI

Making large AI models cheaper, faster and more accessible

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nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

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ControlNet

Let us control diffusion models!

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mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

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CodeFormer

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

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Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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PaddleSeg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

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BELLE

BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）

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server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

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mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

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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 performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

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awesome-pretrained-chinese-nlp-models

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合

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coremltools

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

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DAMO-YOLO

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

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PINTO_model_zoo

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

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Real-World-Masked-Face-Dataset

Real-World Masked Face Dataset，口罩人脸数据集

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XNNPACK

High-efficiency floating-point neural network inference operators for mobile, server, and Web

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tflite-micro

Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).

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ml-neuman

Official repository of NeuMan: Neural Human Radiance Field from a Single Video (ECCV 2022)

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pytorch_face_landmark

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.

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MaskTheFace

Convert face dataset to masked dataset

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ffmpegcv

The ffmpegcv is a ffmpeg backbone for open-cv like Video Reader and Writer

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CodeFormer-ncnn

ncnn version of CodeFormer

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ffmpeg_hw_decode

video stream hardware decoding and color space conversion by ffmpeg and cuda. thread safe.

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MNN_Demo

🥭 移动端MNN部署学习笔记。支持Android与iOS。

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ncnn-portrait-segmentation

⚡️Real-time portrait segmentation

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PP-HumanSeg-opencv-onnxrun

分别使用OpenCV、ONNXRuntime部署PP-HumanSeg肖像分割模型，包含C++和Python两个版本的程序

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FaceDataSets_Manual_Annotation_Tools

Face attributes manual annotatior python tool projects

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