citrusX

citrusX's Stars

• Comee/SolarTerms24

  用python (jython)根据VSOP87行星运行理论计算【二十四节气】发生的准确时间，结果和万年历一致。

  Language:HTML2810

• justjavac/awesome-wechat-weapp

  微信小程序开发资源汇总 :100:

  45.3k8.6k

• AobingJava/JavaFamily

  【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

  35.9k7.8k

• algorithmzuo/class-notes

  全部算法课讲解知识点提纲、题目汇总、PPT合集、学前必读、学习规划

  743407

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13k2.6k

• afatcoder/LeetcodeTop

  汇总各大互联网公司容易考察的高频leetcode题🔥

  18.5k2.7k

• dmsm/MarioNette

  Code for MarioNette: Self-Supervised Sprite Learning, in NeurIPS 2021

  Language:Python378

• monniert/dti-sprites

  (ICCV 2021) Code for "Unsupervised Layered Image Decomposition into Object Prototypes" paper

  Language:Python457

• fred5577/VAE-IW

  Language:C++91

• cosen1024/Java-Interview

  「Java面试小抄」一份通向理想互联网公司的面试汇总，包括 Java基础、Java并发、JVM、MySQL、Redis、Spring、MyBatis、Kafka、计算机操作系统、计算机网络、系统设计、分布式、Java 项目实战等

  2.3k531

• FudanVI/compositional-scene-representation-toolbox

  A toolbox of compositional scene representation learning methods and benchmark datasets.

  Language:Python122

• pemami4911/EfficientMORL

  EfficientMORL (ICML'21)

  Language:Python233

• zhixuan-lin/IODINE

  PyTorch re-implementation of Multi-Object Representation Learning with Iterative Variational Inference

  Language:Python5712

• stelzner/monet

  An implementation of the MONet model for unsupervised scene decomposition in PyTorch

  Language:Python586

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  174k50.8k

• sunyd1006/ssp

  sssssssssssssssssss p find job!!!

  Language:Java18928

• frank-lam/fullstack-tutorial

  🚀 fullstack tutorial 2022，后台技术栈/架构师之路/全栈开发社区，春招/秋招/校招/面试

  Language:Java11.5k2.4k

• zhixuan-lin/G-SWM

  Official PyTorch implementation of "Improving Generative Imagination in Object-Centric World Models"

  Language:Python345

• Atcold/NYU-DLSP20

  NYU Deep Learning Spring 2020

  Language:Jupyter Notebook6.7k2.2k

• nndl/nndl.github.io

  《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

  Language:HTML17.3k3.6k

• e2crawfo/auto_yolo

  Original implementation of Spatially Invariant Attend, Infer, Repeat (SPAIR) in TensorFlow.

  Language:Python5117

• applied-ai-lab/genesis

  Official PyTorch implementation of GENESIS and GENESIS-V2

  Language:Python9719

• zhixuan-lin/SPACE

  Official PyTorch implementation of "SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition"

  Language:Python10030

• matthewvowels1/Awesome-VAEs

  A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

  77677

• SUTDBrainLab/MGP-VAE

  Language:Python385

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown125k23.2k

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python15.9k6.9k

• junhyukoh/nips2015-action-conditional-video-prediction

  Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"

  Language:Jupyter Notebook11551

• JonathanRaiman/tensorflow-infogan

  :dolls: InfoGAN: Interpretable Representation Learning

  Language:Python15463

• Natsu6767/InfoGAN-PyTorch

  PyTorch Implementation of InfoGAN

  Language:Python32182