6586 Open source projects that are alternatives of or similar to Protobuf Uml Diagram

深度学习笔记

NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业

《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习研究人员和爱好者参考！

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

An autonomous AI racecar using NVIDIA Jetson Nano

MICCAI18 DeepEM: Deep 3D ConvNets with EM for Weakly Supervised Pulmonary Nodule Detection

🗡 A tool to visualize Dagger 2 dependency graphs

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

Notebooks and code for the book "Introduction to Machine Learning with Python"

My blogs and code for machine learning. http://cnblogs.com/pinard

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Early stopping for PyTorch

Bayesian Changepoint Detection

Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.

html js hosted on GitHub

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Practice your pandas skills!

PyBites Code Challenges

The repository includes Notebook files and documents of the course I completed in NVIDIA Deep Learning Institute. Feel free to acess and work with the Notebooks and other files.

jforgame是一个一站式游戏服务器开发框架。包含游戏服，跨服，匹配服，后台管理系统等模块。同时提供大量业务案例以供学习。

A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

fast.ai early development experiments

Visualizations for machine learning datasets

Code, exercises and tutorials of my personal blog ! 📝

Learn Julia via interactive tutorials!

Efficient Image Captioning code in Torch, runs on GPU

Repository for materials/codes from Kording lab teaching 2016

Time series classification and clustering code written in Python.

Learning numerical computing with notebooks for all ages.

My solution to the book <A collection of Data Science Take-home Challenges>

step-by-step, implement a neural network with python and numpy to recognize handwritten number

提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

Generate .proto files from Go source code.

Code exercises and demos complementing lecture materials.

GraphQL Server schema visualizer

Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2).

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Putting names to the players identified by BuzzFeed News in its tennis exposé.

The codes I made while I practiced various TensorFlow examples

Pytorch easy-to-follow Capsule Network tutorial

A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

A pedagogical implementation of Autograd

Solutions of Reinforcement Learning, An Introduction

JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.

A hypothetical proof-of-concept book recommendation system for Project Gutenberg, using Natural Language Processing.

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Simple but useful Python web scraping tutorial code.

A base solution that helps to generate insights from their data. The solution provides a framework for an end-to-end machine learning process including ad-hoc data exploration, data processing and feature engineering, and modeling training and evaluation. This baseline will provide the foundation for industry specific data to be applied and models created to release industry specific ML solutions.

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

The "Python Machine Learning (2nd edition)" book code repository and info resource

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

IPython and Jupyter in-depth Tutorial, first presented at PyCon 2012

Repository containing notebooks of my posts on Medium

Code, data, and instructions for mapping orbits of asteroids in the solar system