6355 Open source projects that are alternatives of or similar to Sklearn Benchmarks

Machine learning with scikit-learn tutorial at PyData Chicago 2016

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

Python机器学习，机器学习入门首选。

A collection of all projects pertaining to different layers in the SDC software stack

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

Association Rule Mining from Spatial Data for Crime Analysis

Repository for the ICON 2017 hackathon 'multivoxel pattern analysis (MVPA) of fMRI data in Python'

Predicting forex binary options using time series data and machine learning

Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

Materials for the course of machine learning at Imperial College organized by Yandex SDA

A non-sampling profiler purpose built to measure and optimize performance of ultra low latency/real time systems

A python library for decision tree visualization and model interpretation.

The "Python Machine Learning (2nd edition)" book code repository and info resource

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

a sklearn wrapper for Google's BERT model

A stable algorithm for GAN training

Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l

Jupyter Notebooks with Deep Learning Tutorials

A workflow for creating and editing publication ready scientific reports and presentations, from one or more Jupyter Notebooks, without leaving the browser!

A seq2seq model that can correct spelling mistakes.

PyData Cookbook Project

Bu çalışma araştırmalar yaparken benzerlerine rastlayıp iyileştirerek derlemeye çalıştığım ve derin öğrenme (deep learning) konusunda kısa bir özet ve bolca kaynak yönlendirmesi olan (hatta sonunda koca bir liste var) hızlıca konuya giriş yapılabilinmesi için gereklilikleri özetlemektedir. Lütfen katkı vermekten çekinmeyin 👽

Solid data structure and algorithms

MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.

The Los Angeles Times' independent tally of coronavirus cases in California.

World Models with TensorFlow 2

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

[ko] 패스트캠퍼스 강의 자료

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

A delightful and complete interface to GitHub's amazing API

Mapeamento de iniciativas (e catálogos) de dados abertos governamentais no Brasil.

Jupyter notebooks and code examples for my Kaggle Beginners' Guide.

Jupyter notebooks for the Julia Scientific Programming course on Coursera

Detecting and counting small objects - Analysis, review and application to counting

统计学习方法训练营课程作业及答案，视频笔记在线阅读地址：https://relph1119.github.io/statistical-learning-method-camp

"Data Mining in Action Course", Moscow Institute of Physics and Technologies

A cute multi-layer LSTM that can perform like a human 🎶

Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera

lidc nodule detection with CNN and LSTM network

Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

Code snippets from Kite blog posts

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

Code release for "learning to find good correspondences" CVPR 2018

My personal notes, presentations, and notebooks on everything Deep Learning.

Discover augmentation strategies tailored for your dataset

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

Code and instructions for making topographic maps of planets and moons

This repository contains all codes and materials of the current session. It contains the required code on Natural Language Processing, Artificial intelligence.

爬虫+数据分析实战项目

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

基于Tensorflow2的深度学习开源书籍

Contains Jupyter Notebooks of stuff I am working on.

One has no future if one couldn't teach themself.

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Quantum Challenge problem sets