6537 Open source projects that are alternatives of or similar to Keras Yolo2

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

Speedml Python Notebooks

Demos of Plotly's Real-time Streaming API

Reinforcement Learning examples implementation and explanation

🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

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

Linear, IV and GMM Regressions With Any Number of Fixed Effects

MindSpore document

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Mirror of Apache Open Climate Workbench

This is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given links in the notebooks.

UC Berkeley's software and documentation for Breakthrough Listen data

Simple Training and Deployment of Fast End-to-End Binary Networks

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

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

Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.

Machine Learning Projects and Learning Content

Fit 3DMM to front and side face images simultaneously.

Clockwork Convnets for Video Semantic Segmenation

Online trading using Artificial Intelligence Machine leaning with basic python on Indian Stock Market, trading using live bots indicator screener and back tester using rest API and websocket 😊

"Deep Learning and Quantum Programming" Spring School @ Song Shan Lake

This is the code for the Kaggle Earthquake Challenge by Siraj Raval on Youtube

Pytorch tutorials for Neural Style transfert

Python Feature Engineering Cookbook, published by Packt

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

机器学习算法项目

using CNN to do move prediction and board evaluation for the board game Go

Python port of CausalImpact R library

Cloud Dataproc: Samples and Utils

https://cn.udacity.com/mlnd/

An Interactive Introduction to Fourier Transforms

Introduction to Python for Data Science for PyCon 2018

Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850

天池比赛，kaggle等等（Keras/PyTorch实战）

Use the TPC-DS benchmark to test Spark SQL performance

This repository contains Deep Learning examples using Tensorflow. This repository will be useful for Deep Learning starters who find difficulty in understanding the example codes.

A collection of DL experiments and notes

Codes for my mathematical statistics course

DEPRECATED - DO NOT USE

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

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

Machine learning lessons and teaching projects designed for engineers

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

An easy to use waterfall chart function for Python

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

Python script to download the celebA-HQ dataset from google drive

A repository for public storage of slides given at the 17th Python in Science Conferences (2018)

General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python

How to Win a Data Science Competition: Learn from Top Kagglers

Loss Landscapes of Regularized Linear Autoencoders

How to train an object detection model easy for free

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

Official reinforcement learning environment for demand response and load shaping

This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.

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

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

Machine Learning Tutorial in IPython Notebooks