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Name: shuxiujun
Type: User
Name: shuxiujun
Type: User
Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.
A simple GBDT in Python
Implementation of Graph Convolutional Networks in TensorFlow
Generic Event Boundary Detection: A Benchmark for Event Segmentation
关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
一个可以查看项目Star增长趋势的Chrome插件
GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN)
通过MXNet/Gluon来动手学习深度学习
Framework for evaluating Graph Neural Network models on semi-supervised node classification task
This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)
Must-read papers on graph neural networks (GNN)
TensorFlow implementation of GoogLeNet and Inception for image classification.
Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs
A Tool for Ploting the Heatmap Overlay Image
explore DNNs via Infomration
🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)
ImageBind One Embedding Space to Bind Them All
Image captioning codebase in pytorch(finetunable cnn in branch "with_finetune";diverse beam search can be found in 'dbs' branch; self-critical training is under my self-critical.pytorch repository.)
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
State-of-the-art 2D and 3D Face Analysis Project
See Finer, See More: Implicit Modality Alignment for Text-based Person Retrieval
A Go playing program implemented in Tensorflow roughly according to the architecture of AlphaGo. Current strength is 3~4 amateur dan.
KDD CUP 2018
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.
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.