6430 Open source projects that are alternatives of or similar to Vde

CCF-BDCI 2018年汽车行业用户观点主题及情感识别挑战赛 第6名解决方案

机器学习算法项目

中文商品评论短文本分类器，可用于情感分析

Some Python tips for beginner to intermediate users. Also used as a personal cheat sheet. Featured here https://bit.ly/2ZaV4Pl

Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow

Interface for people to use my model which predicts which techniques one should use to solve a competitive programming problem to get an AC

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs

Solutions and comments to assignments for 2019 Stanford's course on convolutional neural networks

Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design

A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"

A set of notebooks explaining swift for tensorflow optimized to run in Google Collaboratory.

Demos of Plotly's Real-time Streaming API

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

🤖 Poppy Ergo Jr is an open-source robotic arm based on modular 3D printed conception and low-cost XL-320 motors.

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.

Clockwork Convnets for Video Semantic Segmenation

An End-to-end Outlier Detection System

Pytorch tutorials for Neural Style transfert

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A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

Codes for my mathematical statistics course

Jupyter Notebooks used on my DataScience projects

Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

Tutorials for Fall 2018

Four-in-one deep network: image search, image captioning, similar words and similar images using a single model

Focal Frequency Loss for Generative Models

[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

Examples of NumbaPro in use.

create sankey diagrams with matplotlib

Machine Learning for High Energy Physics.

Short Course - Applied Machine Learning for Risk Management

Files for Udemy Course on Algorithms and Data Structures

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

一些爬虫的代码

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

Comparison tools

Reinforcement Learning examples implementation and explanation

IPython widgets, interactive plots, interactive machine learning

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

The "Python Machine Learning (1st edition)" book code repository and info resource

A lightweight convolutional neural network

Scalable inference for a generative model of astronomical images

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首个中文的简单从零开始实现视觉SLAM理论与实践教程，使用Python实现。包括：ORB特征点提取，对极几何，视觉里程计后端优化，实时三维重建地图。A easy SLAM practical tutorial (Python).图像处理、otsu二值化。更多其他教程我的CSDN博客

Pandas tutorial for SciPy2015 and SciPy2016 conference

Tensorflow 2.0 implementation of the paper: A Fully Convolutional Neural Network for Speech Enhancement

Examples of single-cell genomic analysis accelerated with RAPIDS

Chess reinforcement learning by AlphaGo Zero methods.

Regularized Losses (rloss) for Weakly-supervised CNN Segmentation