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amtl

Asynchronous Multi-Task Learning

chinese-char-rnn

Character-Level language models

chinese-novel-generation

尝试使用中文文本训练RNN来产生中文小说。

deep-learning-visualization-and-understanding

deep-residual-networks

Deep Residual Learning for Image Recognition

deep-visualization-toolbox

DeepVis Toolbox

deeplearningfromscratch

reproduce selected deep learning model from scratch

dogs_vs_cats

猫狗大战

domain_adaptation

this project is the code of domain adaptation referenced by unsupervised domain adaptation by backpropagation(http://machinelearning.wustl.edu/mlpapers/paper_files/icml2015_ganin15.pdf).And i realized it on mnist.

face_recognition

The world's simplest facial recognition api for Python and the command line

image-classification-using-vggnet

Most of the time you won't want to train a whole convolutional network yourself. Modern ConvNets training on huge datasets like ImageNet take weeks on multiple GPUs. Instead, most people use a pretrained network either as a fixed feature extractor, or as an initial network to fine tune. In this notebook, you'll be using VGGNet trained on the ImageNet dataset as a feature extractor.

image-processing

imagenet

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

imtl

interactive Multi-Task Learning

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

machinelearning

Machine learning resources

malsar

Multi-task learning via Structural Regularization

models

Models and examples built with TensorFlow

mtcnn_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

multi-task-learning

Multi-Task Learning in NLP

nolearn

scikit-learn compatible neural network library

opencvchepai

opencv车牌识别,需要emgucv

optimization-algorithm

整理机器学习的相关优化算法，包括随机梯度相关算法、凸优化、Proximal算法

pyecharts

Python Echarts Plotting Library

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-beginner

pytorch tutorial for beginners

pytorch-examples

Simple examples to introduce PyTorch

pytorch-nn-practice

💩 My pytorch neural network practice repo

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

tensorflow

从入门到精通！学习tensorflow的过程，记录一些模型:mnist_ml LeNet cifar10_cnn