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keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

learning

cuda 学习记录

learning_cuda

lite.ai.toolkit

🍅🍅A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv5, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX. MNN, NCNN, TNN, ONNXRuntime, CPU/GPU ...

llm-adapters

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

medusa

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mqbench

Model Quantization Benchmark

octotree

GitHub on steroids

paddle_model

The deep learning model of paddlepaddle

paddle_yolox

paddle复现yolox

paddledetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

paddlevit

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

paper-reading

深度学习论文精读

recommendation_advertisement_search

整理自然语言处理、推荐系统、搜索引擎等AI领域的入门笔记，论文学习笔记和面试资料（关于NLP那些你不知道的事、关于推荐系统那些你不知道的事、NLP百面百搭、推荐系统百面百搭、搜索引擎百面百搭）

res-interview-notes

该仓库主要记录 推荐系统 算法工程师相关的面试题

retinanet-based-on-ppdet

scaledyolov4

Scaled-YOLOv4: Scaling Cross Stage Partial Network

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.

sparser-cnn

End-to-End Object Detection with Learnable Proposal, CVPR2021

stable-diffusion

A latent text-to-image diffusion model

workingtime

yangxue0827

yolov6

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

yolov7

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

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

you-get

:arrow_double_down: Dumb downloader that scrapes the web