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Google Colaboratory Notebooks and Repositories (by @firmai)
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actual impact of various marketing variables over the past and recommend the optimal budget allocation for different marketing levers for the next year. Built several Linear Regression models like Additive, Multiplicative, Koyck & Distributive Lag to identify the important KPIs that influence the company revenue and their contributions towards the revenue. The main data set is available below:
Advanced Business Analytics and Mathematics with Python (by @firmai)
A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
This repository contains a really efficient Proof of Concept implementation for solving the Colored Travelling Salesman problem for up to 70-90 cities/nodes using the Gurobi Solver v9.0.2
Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Программный код к книге "Предварительная подготовка данных в Python"
A tutorial demonstrating how to implement deep learning models for time series forecasting
Russian DialoGPT
Kerberos authentication backend for Django
Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова)
ETNA – Time-Series Library
Простейшая программа для изучения цен на рынке EVE Online
A curated list of practical financial machine learning tools and applications.
A python implementation of genetic programming, using the turing-complete Recursive Tree Network (RTN) structure.
FirmAI Labs - World's First Google Colab Website
Implementation of a GPU-parallel Genetic Algorithm using CUDA with python numba for significant speedup.
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
Notebooks from https://github.com/ageron/handson-ml2 as blog posts using fastpages
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
My code for Telstra Network Disruptions Kaggle competition
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.