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数据结构和算法必知必会的50个代码实现
The most cited deep learning papers
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Codes for the CVPR 2021 paper: Contrastive Embedding for Generalized Zero-Shot Learning
CGAN for simple handwritten numeric tasks built with Pytorch
DALL·E Mini - Generate images from a text prompt
python 3 pytorch implementation of DANN
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Deep Residual Learning for Image Recognition
A collection of implementations of deep domain adaptation algorithms
Methods and Implements of Deep Clustering
Exercises of deep learning tutorial from Stanford University
Python package built to ease deep learning on graph, on top of existing DL frameworks.
implement Domain-Adversarial Training of Neural Networks
Tensorflow implementation of "Deep sparse representation-based classification"
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
Code, exercises, answers, and hints to go along with the book "Functional Programming in Scala"
Generative Adversarial Networks Projects, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
For the CIFAR-10 dataset, extracting HOG features and using SVM classifier to classify them, at last, we get the accuracy.
Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
本库托管了协程、SMTP邮件发送协议、 Python连接远程HBase、 异步爬虫代码和快速上手中英文词云图等代码,如果你觉得对你有用,别忘了star我哦。
The source codes of Meta-learning for few-shot cross-domain fault diagnosis.
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
中文 Python 笔记
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.