6348 Open source projects that are alternatives of or similar to Machine Learning With Python

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

Tutorial Materials for ICCV19

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

tensorflow implementation of Grad-CAM (CNN visualization)

A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search

Random Forests for Density Estimation in Python

pytorch neural combinatorial optimization

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

💫 Jupyter notebooks for spaCy examples and tutorials

Ruby language bindings for LIBSVM

quaternion, euler angle, interpolation, cubic bezier, cubic spline, PCA, etc.

PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning

Implementation of spatial transformer networks (STNs) in keras 2 with tensorflow as backend.

Calculate similarity of sentences & Cluster the result.

AdvHat: Real-world adversarial attack on ArcFace Face ID system

FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.

Analysis and datasets about football (soccer)

Testing doing basic regression with web assembly

👩‍🔬 Train and Serve TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure

Using LSTM network for time series forecasting

Classification of WAV files from cats and dogs

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

R package: parallel computing toolset for relatedness and principal component analysis of SNP data (Development Version)

Fusion ICA Toolbox (MATLAB)

Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

Basic Machine Learning implementation with python

Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.

摩拜单车爬虫

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/

📚 嵌入式系统基础知识与主流编程语言相关内容总结

Streaming, Memory-Limited, r-truncated SVD Revisited!

A simple movie recommendation engine

High performance topic modeling for Ruby

Introduction to Mathematical Computing with Python and Jupyter

A PureScript, browser-based implementation of simple linear regression.

Introduction to Deep Neural Networks with Keras and Tensorflow

Latent Dirichlet Allocation

The main aim of this project is to tell that the certain project will be successful or it will fail by applying machine learning algorithm. In this , LOGISTIC REGRESSION is used to determine the success of the project by splitting the data into training and testing models and predicting a successful one.

Parallel & lightning fast implementation of available classic and contemporary variants of the KMeans clustering algorithm

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

extract relationships from standardized terms from corpus of interest with deep learning 🐟

Word to Gaussian Mixture Model

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

An Interactive Approach to Understanding Supervised Learning Algorithms

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

Notebooks for the Altair tutorial

Codes for weekly challenges on Deep Learning by Siraj

ICDSS Machine Learning Workshop Series: Linear Models

Collection of presentations for advanced Python topics

Head-related Transfer Function Customization Process through Slider using PCA and SH in Matlab

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

DrQ: Data regularized Q

TensorFlow实战，使用LSTM预测彩票