Andrew Ng NotesThis is Andrew NG Coursera Handwritten Notes.
Stars: ✭ 180 (-92.35%)
PantheraData-frames & arrays on Clojure
Stars: ✭ 168 (-92.86%)
xarray-beamDistributed Xarray with Apache Beam
Stars: ✭ 83 (-96.47%)
Orange3🍊 📊 💡 Orange: Interactive data analysis
Stars: ✭ 3,152 (+33.96%)
Jetson ContainersMachine Learning Containers for NVIDIA Jetson and JetPack-L4T
Stars: ✭ 223 (-90.52%)
covid-19Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic.
Stars: ✭ 14 (-99.41%)
Data-Wrangling-with-PythonSimplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices
Stars: ✭ 90 (-96.18%)
SdcIntel® Scalable Dataframe Compiler for Pandas*
Stars: ✭ 623 (-73.52%)
wax-mlA Python library for machine-learning and feedback loops on streaming data
Stars: ✭ 36 (-98.47%)
onelinerhub2.5k code solutions with clear explanation @ onelinerhub.com
Stars: ✭ 645 (-72.59%)
esmlabEarth System Model Lab (esmlab). ⚠️⚠️ ESMLab functionality has been moved into <https://github.com/NCAR/geocat-comp>. ⚠️⚠️
Stars: ✭ 23 (-99.02%)
saddleSADDLE: Scala Data Library
Stars: ✭ 23 (-99.02%)
Information-RetrievalInformation Retrieval algorithms developed in python. To follow the blog posts, click on the link:
Stars: ✭ 103 (-95.62%)
gcpyPython toolkit for GEOS-Chem.
Stars: ✭ 34 (-98.56%)
Algorithmic-TradingI have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.
Stars: ✭ 47 (-98%)
Data-Scientist-In-PythonThis repository contains notes and projects of Data scientist track from dataquest course work.
Stars: ✭ 23 (-99.02%)
ESAEasy SimAuto (ESA): An easy-to-use Power System Analysis Automation Environment atop PowerWorld Simulator Automation Server (SimAuto)
Stars: ✭ 26 (-98.9%)
PyRepository to store sample python programs for python learning
Stars: ✭ 4,154 (+76.54%)
Abu阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
Stars: ✭ 8,589 (+265.02%)
framequerySQL on dataframes - pandas and dask
Stars: ✭ 63 (-97.32%)
Python-MatematicaExplorando aspectos fundamentais da matemática com Python e Jupyter
Stars: ✭ 41 (-98.26%)
Data Science HacksData Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
Stars: ✭ 273 (-88.4%)
Machine-LearningThis repository contains notebooks that will help you in understanding basic ML algorithms as well as basic numpy excercise. 💥 🌈 🌈
Stars: ✭ 15 (-99.36%)
Docker DjangoA complete docker package for deploying django which is easy to understand and deploy anywhere.
Stars: ✭ 378 (-83.94%)
Deep Learning WizardOpen source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.
Stars: ✭ 343 (-85.42%)
Pytablewriterpytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.
Stars: ✭ 422 (-82.07%)
Stock Market Analysis And PredictionStock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
Stars: ✭ 112 (-95.24%)
PynamicalPynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.
Stars: ✭ 458 (-80.54%)
PandapyPandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)
Stars: ✭ 474 (-79.86%)
DataSciPyData Science with Python
Stars: ✭ 15 (-99.36%)
PythondatasciencehandbookThe book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.
Stars: ✭ 31,995 (+1259.75%)
NumsharpHigh Performance Computation for N-D Tensors in .NET, similar API to NumPy.
Stars: ✭ 882 (-62.52%)
MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-98.51%)
Pyda 2e Zh📖 [译] 利用 Python 进行数据分析 · 第 2 版
Stars: ✭ 866 (-63.2%)
Python-campNo description or website provided.
Stars: ✭ 34 (-98.56%)
Baby Names AnalysisData ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.
Stars: ✭ 557 (-76.33%)
Docker Alpine Python MachinelearningSmall Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/
Stars: ✭ 76 (-96.77%)
SspipeSimple Smart Pipe: python productivity-tool for rapid data manipulation
Stars: ✭ 96 (-95.92%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (-6.63%)
Tiny mlnumpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法
Stars: ✭ 129 (-94.52%)
MantidMain repository for Mantid code
Stars: ✭ 150 (-93.63%)
NumcppC++ implementation of the Python Numpy library
Stars: ✭ 2,031 (-13.68%)
Numscanumsca is numpy for scala
Stars: ✭ 160 (-93.2%)