Hao Tang (ABadCandy)

ABadCandy

Geek Repo

Company:ICT

Location:Beijing

Home Page:https://abadcandy.github.io

Github PK Tool:Github PK Tool

Hao Tang's repositories

BaiDuBigData19-URFC

my solution with 0.67 accuracy

Resume

my resume

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HessianDL

A experimental program

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100-Days-Of-ML-Code

100 Days of ML Coding

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2021Q2-hackathon

2021 Q2 全国联动黑客松大赛

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Algorithm_Interview_Notes-Chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

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All-About-the-GAN

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

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awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

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Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

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CBAM.PyTorch

Non-official implement of Paper:CBAM: Convolutional Block Attention Module

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chatbot-ui

An open source ChatGPT UI.

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CS-Notes

:books: Computer Science Learning Notes

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Data-Analysis

Data Analysis Using Python

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deep-learning-papers-translation

深度学习论文翻译,包括分类论文,检测论文等

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deep_learning_object_detection

A paper list of object detection using deep learning.

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feishu-chatgpt

🎒飞书 ×(GPT-3.5 + DALL·E + Whisper)= 飞一般的工作体验 🚀 语音对话、角色扮演、多话题讨论、图片创作、表格分析、文档导出 🚀

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leetCode-1

算法相关知识储备

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ML-Tutorial-Experiment

Coding the Machine Learning Tutorial for Learning to Learn

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mlcourse.ai

Open Machine Learning Course

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neo-mamba

Python SDK for the NEO3 blockchain

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poutyne

A Keras-like framework and utilities for PyTorch

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch-utilities

Code for commonly used functions like cross-validation, model training and model testing.

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Semantic-Segmentation-Suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

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Single-Image-Super-Resolution

A collection of high-impact and state-of-the-art SR methods

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state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

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Time-series---deep-learning---state-of-the-art

Scientific time series and deep learning state of the art

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trellisnet

Trellis Networks for Sequence Modeling

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