5921 Open source projects that are alternatives of or similar to Cloudtestdrive

Implementing YOLO using ResNet as the feature extraction network

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

Resources for Machine Learning Pocket Reference

Keras implementation of NASNet-A

R package to interface with OpenML

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.

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

My repository for the Carvana Image Masking Challenge

CS231n 2019年春季学期课程作业

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

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.

Assets for data8.org

nbconflux converts Jupyter Notebooks to Atlassian Confluence pages

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

introduction to text analytics in python training for odsc west 2018

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

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

Numerical simulations using flexible Lattice Boltzmann solvers

推荐系统从入门到实战

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

Python package for publishing Jupyter Notebooks as Medium blogposts

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

Public repo for Materials API documentation

Local AI demo and distributed AI demo using TensorFlow

Exposure Matrix Factorization: modeling user exposure in recommendation

图像检索和向量搜索，similarity learning,compare deep metric and deep-hashing applying in image retrieval

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

Compressed Sensing MRI based on Deep Generative Adversarial Network

Papers I read

TensorFlow Tutorials with YouTube Videos

A collection of simple tutorials for using Fonduer

Machine learning projects, often on audio datasets

Stanford cs231n'18 assignment

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）

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

Inference case studies in jupyter

Malware Data Science Reading Diary / Notes

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

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

COVID-19 workflows and datasets.

Data Reading Blocks for Python

Machine learning portfolio

API for accessing the GraphLog dataset

Software for the visualization of sequence-function relationships

A Python library for integrating model-based and judgmental forecasting

Colorise Anime/Manga Sketches with DeOldify

google it automation with python professional certificate

A collection of IJulia notebooks related to optimization

Solution of RecSys Challenge 2015

Data visualization course material

brief introduction to Python for neural networks

《Python工具代码速查手册》是我们的python培训教材，主要面向数据分析方向。其中包含了python的常用总结性操作，使用jupyter notebook，利用markdown和script结果对常用操作进行总结，包括了使用方式和脚本。之所以使用notebook形式是可以方便大家编辑，方便大家形成自己的总结笔记。当然各位有更好的操作建议也欢迎向我们团队分享~

适合初级到中级晋升者，有了体系之后就看熟练度了。

statistics and classes for exploratory spatial data analysis

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

Neural machine translator for English2German translation.