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dctyxx's Projects

cam2bev icon cam2bev

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

convmixer icon convmixer

Implementation of ConvMixer for "Patches Are All You Need? 🤷"

data-scientist-books icon data-scientist-books

Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)

einops icon einops

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

finrl-meta icon finrl-meta

FinRL­-Meta: A Universe for Data­-Driven Financial Reinforcement Learning. 🔥

freecodecamp icon freecodecamp

The https://www.freeCodeCamp.org open source codebase and curriculum. Learn to code for free together with millions of people.

gf_tools icon gf_tools

杂七杂八的学习笔记 分好类输出

howtocook icon howtocook

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese only).

inf-net icon inf-net

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.

kivy-cn icon kivy-cn

A Chinese Translation of Kivy Programming Guide Based on Kivy 1.9.2 中文翻译Kivy开发文档

psi-net icon psi-net

[TMI'20] Code for "Ψ-Net: Stacking Densely Convolutional LSTMs for Sub-Cortical Brain Structure Segmentation".

pyqt icon pyqt

PyQt Examples(PyQt各种测试和例子) PyQt4 PyQt5

res2net-pretrainedmodels icon res2net-pretrainedmodels

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

segment-anything icon 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.

segmenter icon segmenter

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

tokencut icon tokencut

(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"

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