6780 Open source projects that are alternatives of or similar to Linear Attention Recurrent Neural Network

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

Advanced Scikit-learn training session

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

Tous les codes utilisés dans la série YouTube Python Spécial Machine Learning !

Differentiable bitonic sorting

Build and train state-of-the-art natural language processing models using BERT

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Demo notebooks inside a docker for end-to-end examples

An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*, Shao-Hua Sun*, Hexiang Hu, and Joseph J. Lim

This package contains an OCR engine - libtesseract and a command line program - tesseract. Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0). It also needs traineddata files which support the legacy engine, for example those from the tessdata repository.

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

最新动态在这里【我的程序员日志】

Machine learning, in numpy

PRML algorithms implemented in Python

Games that i did using pygame library

Methods of data exploration and visualization using Python.

Notebook demo V2Ray traffic classification by deep packet inspection

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Python library for interactive topic model visualization. Port of the R LDAvis package.

Source Code for 'Python Projects for Beginners' by Connor Milliken

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

PyTorch implementation of GOTURN object tracker: Learning to Track at 100 FPS with Deep Regression Networks (ECCV 2016)

参考了西瓜书，sklearn源码，李航统计学，机器学习实战、机器学习中的数学

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University

Darwin Core

Re-implementation of the m-RNN model using TensorFLow

Official Implementation of ChromaGAN: An Adversarial Approach for Picture Colorization

The open source repository for the Kaggle Amazon forest devastation competition https://www.kaggle.com/c/planet-understanding-the-amazon-from-space

julia version of 100 numpy exercises

Source code in ebook Machine Learning

Easy generative modeling in PyTorch.

Research on Texas Hold'em AI

Useful RadioML Examples

Welcome everyone!🌟 Here you can solve problems, build scrappers and much more💻

Example Numba implementations of functions

kaggle Dog Breed Identification

ML

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

Everware is about re-useable science, it allows people to jump right in to your research code.

This library holds a collection of Notebooks and code examples for AWS AI Bootcamps.

Skin cancer detection project

IPython magics for generating figures with TikZ

Solving the fundamentals of algorithms using Python

CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.

Materials for "Bayesian Methods for Machine Learning" Coursera MOOC

Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.

Tools for pen plotting in Python

Workshop to demonstrate how to apply NN based algorithms to stock market data and forecast price movements.

Kaggle Data Science Bowl 2018

Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"

攻城狮之家B站视频课程课件合集2，1号仓库https://github.com/JokerJohn/bilibili_notes.git

A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.

Materials for workshops on text mining, machine learning, and data visualization

Projecting images to latent space with StyleGAN2.