1294 Open source projects that are alternatives of or similar to Awkward 0.x

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

Aircraft design optimization made fast through modern automatic differentiation. Plug-and-play analysis tools for aerodynamics, propulsion, structures, trajectory design, and much, much more.

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Set of Maltego transforms to inferface with a MISP Threat Sharing instance, and also to explore the whole MITRE ATT&CK dataset.

Materiály k předmětu NI-PYT na FIT ČVUT

공공데이터 분석

Data science and Big Data with Python

Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction

🔐 Run frida-server on boot with Magisk, always up-to-date

A framework for secure and scalable network traffic analysis - https://netcap.io

Astus' Mathematical Display Application : A GUI for Mathematics (Calculator, LaTeX Converter, Plotter, ... )

MNE-CPP: A Framework for Electrophysiology

Bash script purposed for system enumeration, vulnerability identification and privilege escalation.

A Box detection algorithm for any image containing boxes.

Qiling Advanced Binary Emulation Framework

Python related technologies used in work: crawler, data analysis, timing tasks, RPC, page parsing, decorator, built-in functions, Python objects, multi-threading, multi-process, asynchronous, redis, mongodb, mysql, openstack, etc.

Fletcher: A framework to integrate FPGA accelerators with Apache Arrow

Functionalities in Excel translated to Python

A framework for rapid reporting API development; with out of the box support for high cardinality dimension lookups with druid.

Mirror of Apache Metamodel

Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.

Simple and Distributed Machine Learning

大数据入门指南 ⭐

Apache Storm 官方文档中文版

numba_scipy extends Numba to make it aware of SciPy

Keyvi - a key value index that powers Cliqz search engine. It is an in-memory FST-based data structure highly optimized for size and lookup performance.

An ORC file format reader and writer for Go.

The Nested Containment List for Python. Basically a static interval-tree that is silly fast for both construction and lookups.

Scalable stream processing platform for advanced realtime analytics on top of Kafka and Spark. LogIsland also supports MQTT and Kafka Streams (Flink being in the roadmap). The platform does complex event processing and is suitable for time series analysis. A large set of valuable ready to use processors, data sources and sinks are available.

The Python Toolbox for Robotics

Simple Smart Pipe: python productivity-tool for rapid data manipulation

🐳 big data study

kafka-connect-s3 : Ingest data from Kafka to Object Stores(s3)

🐞 Ladybug is an environmental plugin for Grasshopper.

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Distributed Big Data Orchestration Service

Software analytics tool that helps developers analyse and improve software quality.

Automatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX

Tree diagrams with JavaScript 🌲 📈

Python Cheat Sheet NumPy, Matplotlib

Open source package for Survival Analysis modeling

Small Android app that checks the root state of your device.

Complete-Life-Cycle-of-a-Data-Science-Project

Pure Julia implementation of the apache arrow data format (https://arrow.apache.org/)

Convert large amounts of data array to tree fastly

SparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.

Towards Large-Scale Emulation of IoT Firmware for Dynamic Analysis

An open access book on scientific visualization using python and matplotlib

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

MSLA/DLP, file analysis, calibration, repair, conversion and manipulation

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

Serialize numpy arrays using msgpack

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

Weex源码分析系列文章

Semi-official Apache CouchDB Docker images

System Architecture Mapper