5921 Open source projects that are alternatives of or similar to Machine Learning Portfolio

Accompanying notebook for the Entailment with Tensorflow article.

基于ltp的简单评论观点抽取模块

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

Assets for data8.org

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

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

Keras implementation of NASNet-A

The Biggest Scala Cheat-Sheet.

CS231n 2019年春季学期课程作业

Public repo for Materials API documentation

Embed strange attractors using a regularizer for autoencoders

introduction to text analytics in python training for odsc west 2018

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

A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the different algorithms works and their differents caracteristics.

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

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

A chatbot built in python using Selenium module.

Local AI demo and distributed AI demo using TensorFlow

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

推荐系统从入门到实战

Neural reparameterization improves structural optimization

nbconflux converts Jupyter Notebooks to Atlassian Confluence pages

Robust Object Classification of Occluded Objects in Forward Looking Infrared (FLIR) Cameras

Python package for publishing Jupyter Notebooks as Medium blogposts

A collection of IJulia notebooks related to optimization

Korean Language Model을 이용한 심리상담 대화 언어 모델.

Stanford cs231n'18 assignment

Data visualization course material

Exposure Matrix Factorization: modeling user exposure in recommendation

Sample code for running deterministic variational inference to train Bayesian neural networks

Video2GIF neural network model from our paper at CVPR2016

Solution of RecSys Challenge 2015

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

Malware Data Science Reading Diary / Notes

Material for the Montréal Deep Learning Summer School 2017

Powerful, automated analysis and design of quantum microwave chips & devices [Energy-Participation Ratio and more]

Codes for Learning Affinity via Spatial Propagation Networks

Jupyter notebooks for h3-py, a hierarchical hexagonal geospatial indexing system

code repository for Udacity nanodegree Artificial Intelligence for Trading

Colorise Anime/Manga Sketches with DeOldify

Augmented environments with RL

Data Reading Blocks for Python

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

Papers I read

Road to Machine Learning

API for accessing the GraphLog dataset

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

brief introduction to Python for neural networks

Knowledge Graph Toolkit

A Python library for integrating model-based and judgmental forecasting

"Deep Learning in Natural Language Processing" - a course by DeepPavlov built on top of Stanford's cs224n

A collection of simple tutorials for using Fonduer

google it automation with python professional certificate

Série histórica dos dados sobre COVID-19, a partir de informações do Ministério da Saúde

Deep Learning: Image classification, feature visualization and transfer learning with Keras

Neural machine translator for English2German translation.

Implementing YOLO using ResNet as the feature extraction network

R package to interface with OpenML