6640 Open source projects that are alternatives of or similar to Visualization Of Global Terrorism Database

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course

Early stopping for PyTorch

Udemy üzerindeki Python kurslarında kullanılan materyaller

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

A set of tools for elastic image registration in Julia

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

Create a dashboard with python!

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/

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

Server-side D3 for static chart/map generation ✨📊

pytorch implementation of openpose including Hand and Body Pose Estimation.

Python implementation of KNN and DTW classification algorithm

CoCalc: Collaborative Calculation in the Cloud

Implementing Siamese networks with a contrastive loss for similarity learning

fast.ai early development experiments

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

Code, exercises and tutorials of my personal blog ! 📝

Gaussian Process Optimization using GPy

Efficient Image Captioning code in Torch, runs on GPU

Some notes, taken with jupyter noteboook, about my studies and my interests

Time series classification and clustering code written in Python.

Slides and code from our TensorFlow workshop.

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

List of papers, code and experiments using deep learning for time series forecasting

提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。

TensorForce Bitcoin Trading Bot

Python Deep Dive Course - Accompanying Materials

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 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.

Generative Adversarial Networks implemented in PyTorch and Tensorflow

https://keen.io/ JavaScript SDKs. Track users and visualise the results. Demo http://keen.github.io/keen-dataviz.js/

Image restoration with neural networks but without learning.

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

The codes I made while I practiced various TensorFlow examples

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Simple tutorials using Google's TensorFlow Framework

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

Preparing for machine learning interviews

Repository for the North American Summer Meeting of the Econometric Society 2016 workshop

Data-Driven Declarative Documents

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

A pedagogical implementation of Autograd

this repository accompanies the book "Grokking Deep Learning"

中文 Python 笔记

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

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

React friendly API wrapper around MapboxGL JS

Recipes for using Python's pandas library

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Data Analysis Baseline Library

Simple but useful Python web scraping tutorial code.

Here, we will upload our deep/machine learning models and 'workflows' (such as AtomNet, DefectNet, SymmetryNet, etc) that aid in automated analysis of atomically resolved images

- Performed stock market analysis of technology company’s stocks. - Used pandas to get stock information and to visualize different aspects of stock and performed risk analysis of the stock based on its previous performance history.

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!