6676 Open source projects that are alternatives of or similar to Ml

Python implementation of TextRank for phrase extraction and summarization of text documents

Data science teaching materials

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

pandas cheetsheet

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

Adaptive Neural Trees

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

PyTorch library for "Neural Painters: A learned differentiable constraint for generating brushstroke paintings"

Numba tutorial materials for Scipy 2016

Data, tools, and documentation of the Fusion 360 Gallery Dataset

Some Jupyter notebooks about audio signal processing with Python

Resources for a 3.5 hour workshop on machine learning using the MLJ toolbox

机器学习算法项目

julia version of 100 numpy exercises

This repository contains the source code for the paper First Order Motion Model for Image Animation

IPython magics for generating figures with TikZ

Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II

See https://meta.wikimedia.org/wiki/Research:Modeling_Talk_Page_Abuse

Landgreen's public site: physics notes, n-gon

Python机器学习，机器学习入门首选。

dna2vec: Consistent vector representations of variable-length k-mers

a pytorch implementation of auto-punctuation learned character by character

Dstl Satellite Imagery Feature Detection

Source codes for the book "Application of Neural Network and PyTorch"

A Jupyter notebook I use to analyze my crypto portfolio.

DataCamp Facebook Live Code Along Session 1: Enjoy.

Hands-On Recommendation Systems with Python published by Packt

SeqFace : Making full use of sequence information for face recognition

Predictive Filter Flow for fully/self-supervised learning on various vision tasks

Course: Deep Learning

An MDN Layer for Keras using TensorFlow's distributions module

A neural attention model for speech command recognition

Reinforcement Learning examples implementation and explanation

Some experiments with object detection in PyTorch

Representing Books as vectors using the Word2Vec algorithm

In this notebook, we will build an abstractive based text summarizer using deep learning from the scratch in python using keras

2020年全国水下机器人（湛江）大赛

Learning operating system development using Linux kernel and Raspberry Pi

Tutorials and implementations for "Self-normalizing networks"

Data Analysis and Visualization in Python for Ecologists

Convert Jupyter notebook to Excel spreadsheet

Griffon Data Science Virtual Machine

Tutorial on scikit-learn and IPython for parallel machine learning

Machine Learning University: Accelerated Natural Language Processing Class

🔬 Where students practice and receive automated and human feedback

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

1st place solution

To map publicly available datasets related to General Assembly (Lok Sabha) elections in India.