5921 Open source projects that are alternatives of or similar to Deep Vector Quantization

A collection of Jupyter Notebooks for learning Python for Data Science.

Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

emoji2vec: Learning Emoji Representations from their Description

Contains Jupyter Notebooks of stuff I am working on.

A python package that includes many methods for decoding neural activity

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

Trading Bot with focus on Evolutionary Algorithms and Machine Learning

Official Python SDK for Hyperdash

Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation

Machine Learning for finance and investment introduction

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Deep Learning with TensorFlow 2 and Keras, published by Packt

Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks

Create interactive webpages from Jupyter Notebooks

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

Data from the largest and longest measurement of online tracking.

Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required

Try to reproduce FaceShifter

Python solutions to solve practical business problems.

Pytho科学计算生态介绍的中文翻译，英文原文地址：

Dense Depth for Autonomous Driving (DDAD) dataset.

Toy car that drives itself using neural networks

Tools for using a variational auto-encoder for latent image encoding and generation.

A stable algorithm for GAN training

These are my learning exercices from Coursera

A workflow for creating and editing publication ready scientific reports and presentations, from one or more Jupyter Notebooks, without leaving the browser!

《统计学习方法》（第一版）习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

Solid data structure and algorithms

World Models with TensorFlow 2

メディカルAIコース オンライン講義資料

Mapeamento de iniciativas (e catálogos) de dados abertos governamentais no Brasil.

A python tutorial on bayesian modeling techniques (PyMC3)

Jupyter notebooks for the Julia Scientific Programming course on Coursera

Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"

A cute multi-layer LSTM that can perform like a human 🎶

机器学习、深度学习的学习路径及知识总结

Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

Experimental algorithms. Unsupported.

Virtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!

This repository contains all codes and materials of the current session. It contains the required code on Natural Language Processing, Artificial intelligence.

Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

A Python package for exploring and analysing genetic variation data

Interactive Go programming with Jupyter

💎 数学公式识别

Materials for an online-course - "Practical XGBoost in Python"

A collection of IPython notebooks covering various topics.

Visual Question Answering Demo on pretrained model

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

A web frontend for scheduling Jupyter notebook reports

A Pytorch Computer Vision template to quick start your next project! 🚀🚀

中文情感分析，CNN，BI-LSTM，文本分类

This is an LSTM stock prediction using Tensorflow with Keras on top.

Various Notebooks for Lernapparat.de