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Type: User
Type: User
100 Days of ML Coding
Chinese Translation for Machine Learning Infographics
This is my academic portfolio to help me in my job applications for faculty positions in research universities.
Analog Computing chip Combining Electronics and Light (ACCEL)
[CVPR2020] Adversarial Latent Autoencoders
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
Codebase for the ACL 2023 paper "Efficient Shapley Values Estimation by Amortization for Text Classification"
微信公众号爬虫
Audio Visual Instance Discrimination with Cross-Modal Agreement
Continuously updated list of related resources for generative LLMs like GPT and their analysis and detection.
Code repository for Blackbox Attacks via Surrogate Ensemble Search (BASES), NeurIPS 2022
Code and Data for "Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features"
[Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric Medical Image Segmentation
COCO API - Dataset @ http://cocodataset.org/
:books: Computer Science Learning Notes
CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
CVPR2023 : VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud
Source code of our TCSVT 2019 paper "Zero-shot Cross-media Embedding Learning with Dual Adversarial Distribution Network".
NeurIPS 2020, Debiased Contrastive Learning
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Tensorflow implementation of "Deep Multimodal Subspace Clustering Networks"
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,近30万字。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
An official implementation of "Decoupled Multimodal Distilling for Emotion Recognition" in PyTorch. (CVPR 2023 highlight)
A Pytorch implementation of DSC-Net (Deep subspace clustering networks, NIPS17)
Deep Joint Semantic-Embedding Hashing(IJCAI2018)
Ensemble-of-Costs Guided Diffusion For Motion Planning
This repository contains the code for the real data experiments presented in our paper “An embarrassingly simple approach to zero-shot learning”, presented at ICML 2015.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.