6517 Open source projects that are alternatives of or similar to Pqkmeans

Repositório do Deep Learning Book - www.deeplearningbook.com.br

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

I used Machine Learning to make a Logistic Regression model using scikit-learn, pandas, numpy, seaborn and matplotlib to predict the results of FIFA 2018 World Cup.

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

Fundamentals of Spark with Python (using PySpark), code examples

A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.

Projects done in the Data Engineering Nanodegree by Udacity.com

📒 notebook

资产配置方案

ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy

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

Implementation of Slot Attention from GoogleAI

GSDMM: Short text clustering

Main code for Parcels (Probably A Really Computationally Efficient Lagrangian Simulator)

This book is geared toward those who already have programming knowledge. It covers topics that include: creation of user interfaces, computer graphics, internet applications, distributed systems, among other issues.

This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.

Deep learning infrastructure for bioinformatics

Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)

Kaggle Segmentation Challenge

Feature selector is a tool for dimensionality reduction of machine learning datasets

An OCaml kernel for Jupyter (IPython) notebook

Scenarios, tutorials and demos for Autonomous Driving

Magic functions for using Jupyter Notebook with Apache Spark and a variety of SQL databases.

https://www.udemy.com/python-for-finance-and-trading-algorithms/

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

A library for machine learning research on motion capture data

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

周志华-机器学习

2017-CCF-BDCI-让AI当法官(初赛)：7th/415 (Top 1.68%)

Open source person re-identification in Pytorch

Python Crash Course

A list of pretrained Transformer models for the Russian language.

Material for the tutorial: "Deep Diving into GANs: from theory to production"

Julia Project web site (Old)

A pytorch implementation of MINE(Mutual Information Neural Estimation)

Tools for Sensor Fusion processing.

基于v2版本的deeplab,使用VGG16模型，在VOC2012，Pascal-context，NYU-v2等多个数据集上进行训练

python，机器学习笔记，machine learning，nlp

[ICCV 2019] Monocular depth estimation from a single image

🌎 machine learning tutorials (mainly in Python3)

Content, Code & Resources for WWCodeDataScience Events https://www.womenwhocode.com/datascience

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

This repository contains materials for demos, tutorials, and talks by Dato Inc.

Notebooks for https://python.quantecon.org

Train transformer language models with reinforcement learning.

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

Advanced Machine Learning Specialization on Coursera