joskid Goto Github PK

lstm_sentiment-analysis

lucidgloves

Arduino/ESP32 based DIY VR Haptic gloves. Compatible with SteamVR via OpenGloves.

luckysheet

Luckysheet is an online spreadsheet like excel that is powerful, simple to configure, and completely open source.

luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

lux-design-2021

Home to the design and engine of the Lux AI Challenge Season 1

lxmert

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

lyra

A Very Low-Bitrate Codec for Speech Compression

lyricfinder

App that finds song lyrics using React and the Musixmatch API

m2i

M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.

machiavelli

A Django application for 'Machiavelli' online playing

machine-learning

LEARN ALL THE THINGS!

machine-learning--perceptron

Perceptron Algorithm Implementation

machine-learning-1

machine learning octave code

machine-learning-2

Basic implementations of machine learning algorithms

machine-learning-3

My First Project

machine-learning-4

code in course machine-learning on the website www.coursera.org by Andrew NG

machine-learning-5

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

machine-learning-cheatsheet

machine-learning-class

This project contains my code for the programming exercises in the Stanford University Machine Learning class on Coursera.

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

machine-learning-course

Notes and code of the course

machine-learning-experiments

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

machine-learning-from-scratch

Implementing Machine Learning

machine-learning-i

Slides and lecture notes for the course 'machine learning I' taught at the Graduate School Neural Information Processing in Tuebingen.

machine-learning-made-easy

machine-learning-notes

Notes when having Machine Learning class of Andrew Ng of 2011.

machine-learning-notes-1

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

machine-learning-programming-exercises

My solutions to the programming exercises from Stanford's Machine Learning online course