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algo

数据结构和算法必知必会的50个代码实现

awesome-deep-learning-papers

The most cited deep learning papers

catgan_pytorch

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

cc-zsl

ce-gzsl

Codes for the CVPR 2021 paper: Contrastive Embedding for Generalized Zero-Shot Learning

cgan

CGAN for simple handwritten numeric tasks built with Pytorch

dalle-mini

DALL·E Mini - Generate images from a text prompt

dann_py3

python 3 pytorch implementation of DANN

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-residual-networks

Deep Residual Learning for Image Recognition

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

deepclustering

Methods and Implements of Deep Clustering

deeplearningufldl

Exercises of deep learning tutorial from Stanford University

dgl-

Python package built to ease deep learning on graph, on top of existing DL frameworks.

domain-adversarial-training-of-neural-networks

implement Domain-Adversarial Training of Neural Networks

dsrc

Tensorflow implementation of "Deep sparse representation-based classification"

face-aging-with-identity-preserved-conditional-generative-adversarial-networks

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

fpinscala

Code, exercises, answers, and hints to go along with the book "Functional Programming in Scala"

generative-adversarial-networks-projects

Generative Adversarial Networks Projects, published by Packt

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hog-svm-classifer

For the CIFAR-10 dataset, extracting HOG features and using SVM classifier to classify them, at last, we get the accuracy.

hog-svm-python

ieee-phm-2012-data-challenge-dataset

Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

learning_python

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。

metafd

The source codes of Meta-learning for few-shot cross-domain fault diagnosis.

micronet

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

ml-nlp

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。

notes-python

中文 Python 笔记