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xanatos626's Projects

atree icon atree

Just a simple Christmas tree, based on reddit story

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-libgen icon awesome-libgen

😎 Awesome list of Library Genesis, the world's largest free library.

cnn-explainer icon cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

cnndetection icon cnndetection

Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/

deepfacelab icon deepfacelab

DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).

easy163 icon easy163

安卓端一键解锁网易云音乐,无须 ROOT

examples-of-web-crawlers icon examples-of-web-crawlers

一些非常有趣的python爬虫例子,对新手比较友好,主要爬取淘宝、天猫、微信、豆瓣、QQ等网站。(Some interesting examples of python crawlers that are friendly to beginners. )

first-order-model icon first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

gpt-3 icon gpt-3

GPT-3: Language Models are Few-Shot Learners

gpt2 icon gpt2

An implementation of training for GPT2, supports TPUs

gpt2-chinese icon gpt2-chinese

Chinese version of GPT2 training code, using BERT or BPE tokenizer.

hacl-star icon hacl-star

HACL*, a formally verified cryptographic library written in F*

interpretablemlbook icon interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版

leetcodeanimation icon leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)

minigo icon minigo

An open-source implementation of the AlphaGoZero algorithm

penrose icon penrose

Create beautiful diagrams just by typing mathematical notation in plain text.

pulse icon pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

radam icon radam

On The Variance Of The Adaptive Learning Rate And Beyond

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