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Davy's Projects

keras-ocr icon keras-ocr

A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.

keras_cv_attention_models icon keras_cv_attention_models

Keras attention models including beit,botnet,CoaT,CoAtNet,CMT,cotnet,gmlp,halonet,levit,mlp-mixer,nfnets,regnet,resmlp,resnest,resnext,resnetd,volo

labelimg icon labelimg

๐Ÿ–๏ธ LabelImg is a graphical image annotation tool and label object bounding boxes in images

lcnn icon lcnn

LCNN: End-to-End Wireframe Parsing

llm-course icon llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

mmdnn icon mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

models icon models

Models and examples built with TensorFlow

movingpandas icon movingpandas

Implementation of Trajectory classes and functions built on top of GeoPandas

paddleocr icon paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

stylegan2 icon stylegan2

StyleGAN2 - Official TensorFlow Implementation

tensorflow-2.x-tutorials icon tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0็‰ˆๅ…ฅ้—จๅฎžไพ‹ไปฃ็ ๏ผŒๅฎžๆˆ˜ๆ•™็จ‹ใ€‚

train-clip icon train-clip

A PyTorch Lightning solution to training OpenAI's CLIP from scratch.

unilm icon unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

vall-e-x icon vall-e-x

An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io

yolov5-face icon yolov5-face

YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931)

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