stevenji Goto Github PK

machine_learning_python

通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯

machinelearning

一些关于机器学习的学习资料与研究介绍

machinelearning-1

Machine learning resources

machinelearningnotes

My personal notes

man

Codes and data for the paper entitled "Learning representations to predict intermolecular interactions on large-scale heterogeneous molecular association network"

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

math

A collection of open source math notes.

maximum-awesome

Config files for vim and tmux.

medical-data

medical-image-caption

Medical image caption ImageCLEF 2018

miner-data

mini-c-compiler-using-flex-and-yacc

A simple mini c compiler

ml_notes

机器学习算法的公式推导以及numpy实现

mlds-2018-hw4

mlds2018spring

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

models

Models and examples built with TensorFlow

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

neuralbabytalk

Pytorch code of for our CVPR 2018 paper "Neural Baby Talk"

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

neuraltalkanimator

Describing Videos with Neural Networks

nginx-tutorials

Nginx Tutorials

nlpir

nn

nn-from-scratch

Implementing a Neural Network from Scratch

nngraph

Graph Computation for nn

nodechat

用node.js和websocket来做的聊天室demo

opennmt-py

Open Source Neural Machine Translation in PyTorch

papercrawler

Crawler used to crawl papers