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Richard's Projects

antepiseeker2 icon antepiseeker2

Relating epistasis detection to biological pathway analysis using ant colony optimization

comfyui icon comfyui

The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

craft-pytorch icon craft-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

db icon db

A PyToch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

document icon document

📘 各种编程学习资料 (Android C C++ DataBase HTML5 JavaWeb ios python uml 人工智能 操作系统 数学 数据结构 程序员需要的技术 程序设计 编译原理 计算机组成与结构 计算机网络 设计模式 软件工程 面试经验)

hunyuandit icon hunyuandit

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

jd-assistant icon jd-assistant

京东抢购助手:包含登录,查询商品库存/价格,添加/清空购物车,抢购商品(下单),查询订单等功能

kaggle-titanic icon kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

keras icon keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

learngit-1 icon learngit-1

推送请注意:只接受能被自动Merge的Pull Request

monodepth2 icon monodepth2

[ICCV 2019] Monocular depth estimation from a single image

nucleidetectron icon nucleidetectron

10th Place (currently 7th place while leaderboard is being updated) solution for the 2018 Data Science Bowl with a score of 0.591

paddleocr icon paddleocr

Awesome OCR toolkits based on PaddlePaddle (8.6M ultra-lightweight pre-trained model, support training and deployment among server, mobile, embeded and IoT devices)

pythia icon pythia

A modular framework for Visual Question Answering research by the FAIR A-STAR team

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