Fast and customizable framework for automatic and quick Causal Inference in Python
-
Updated
Jun 28, 2024 - Python
Fast and customizable framework for automatic and quick Causal Inference in Python
This repository facilitates the creation of Python wheel files (.whl) from the tiny-cuda-nn project to streamline the installation process on Google Colab.
Study about Artificial Intelligence 🤖, Machine Learning 🚀, and Deep Learning 🧬. Plus, Electrical Engineering ⚡ and Computer Science 💻.
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 website provides a platform for users to predict their likelihood of developing diabetes based on various factors.
Machine Learning End Semester Project
A set of resources around Neo4J ninjas program
Daily consolidated and enriched snapshots of endoflife.date
My prediction solution for the Kaggle Titanic competition. I used Snowflake Cortex ML Classification model.
Solution for Kaggle's AIMO challenge
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Técnicas e recursos para estudar ciência de dados.
Competitive Programming, System Design, Kaggle, LeetCode, AnalyticsVidhya, HackerRank, Project Euler, Interview Query
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
PyTorch extensions for fast R&D prototyping and Kaggle farming
Empowering Data Driven insights through hands-on projects, SQL challenges and practical tools.
Add a description, image, and links to the kaggle topic page so that developers can more easily learn about it.
To associate your repository with the kaggle topic, visit your repo's landing page and select "manage topics."