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个人使用jupyter notebook整理的peter的《机器学习实战》代码,使其更有层次感,更加连贯,也加了一些自己的修改,以及注释
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
Machine Learning in Action(机器学习实战)
A Platform for Many-agent Reinforcement Learning
Motion Emotion Dataset(MED)
Mean Field Multi-Agent Reinforcement Learning
Mixed Incremental Cross-Entropy REINFORCE ICLR 2016
A Pytorch implementation of center loss on MNIST
MoCoGAN: Decomposing Motion and Content for Video Generation
Models built with TensorFlow
Multimodal Unsupervised Image-to-Image Translation
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Experimental code to read/write NumPy .NPY files in MATLAB
Obj-GAN - Official PyTorch Implementation
[CVPR 2020, Oral] "Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020. .
The official pytorch code of PD-GAN: Probabilistic Diverse GAN for Image Inpaintin (CVPR 2021)
Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.
Code for Photo-Sketching: Inferring Contour Drawings from Images :dog:
Implementation of "Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images" (Xie et al., ICCV 2019)
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
Tensorflow implementation of our NIPS 2017 paper "Pose Guided Person Image Generation"
Code for "Probabilistic Neural Programmed Networks for Scene Generation.", Deng et al, NIPS 2018
code for paper "on positive-unlabeled classification in gan"
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
PyTorch implementations of Generative Adversarial Networks.
PyTorch implementation of Grad-CAM
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-
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.