6191 Open source projects that are alternatives of or similar to Intrusion Detection System Using Deep Learning

📓 A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples, algorithms, visualizations etc

nbconflux converts Jupyter Notebooks to Atlassian Confluence pages

Numerical simulations using flexible Lattice Boltzmann solvers

Implementing YOLO using ResNet as the feature extraction network

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

introduction to text analytics in python training for odsc west 2018

statistics and classes for exploratory spatial data analysis

Voice Conversion using Cycle GAN's For Non-Parallel Data

Computer Science SCHOOL resources

This repository includes the code used in my corresponding Medium post.

A short tutorial for Torchtext, the NLP-specific add-on for Pytorch.

Interactive guide to Auclert, Bardóczy, Rognlie, and Straub (2019): "Using the Sequence-Space Jacobian to Solve and Estimate Heterogeneous-Agent Models".

BERT + Image Captioning

推荐系统从入门到实战

My repository for the Carvana Image Masking Challenge

CS231n 2019年春季学期课程作业

Kaggle Quora Questions Pairs Competition

Python package for publishing Jupyter Notebooks as Medium blogposts

It is the DKT+ model implemented in python3 and tensorflow1.2

R package to interface with OpenML

Python-based spatial data analysis and visualization of the GPS location data from my 2014 summer travels.

Public repo for Materials API documentation

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Assets for data8.org

Microscopy Image Cytometry Toolkit

Computational reproducibility using Continuous Integration to produce verifiable end-to-end runs of scientific analysis.

Video2GIF neural network model from our paper at CVPR2016

Accompanying notebook for the Entailment with Tensorflow article.

The art of using t-SNE for single-cell transcriptomics

Notebooks de análises e projetos de Data Science em Python

Material that I use for a variety of classes and tutorials

Generating Captions for images using Deep Learning

TensorFlow Tutorials with YouTube Videos

Code for "Online and Linear Time Attention by Enforcing Monotonic Alignments"

This is the code for "How to Generate Video - Intro to Deep Learning #15' by Siraj Raval on YouTube

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Material for the Montréal Deep Learning Summer School 2017

2017-CCF-BDCI-企业经营退出风险预测：9th/569 (Top 1.58%)

scaffold of Apache Airflow executing Docker containers

A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance

Codes for Learning Affinity via Spatial Propagation Networks

A chatbot built in python using Selenium module.

生命情報の機械学習入門（新学術領域「先進ゲノム支援」中級講習会資料）

code repository for Udacity nanodegree Artificial Intelligence for Trading

基于ltp的简单评论观点抽取模块

Anti-Abuse for servers at authentication time

Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)

Augmented environments with RL

A collection of examples for the ML.NET machine learning package from Microsoft

Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

The Biggest Scala Cheat-Sheet.

Python codes for low-rank tensor factorization, tensor completion, and tensor regression techniques.

Resources for Machine Learning Pocket Reference

Road to Machine Learning

Neural reparameterization improves structural optimization

Machine learning portfolio

Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019