6744 Open source projects that are alternatives of or similar to Deeplearningcoursecodes

Jupyter notebooks associated with the Algorithms for Optimization textbook

Example Machine Learning Scripts for Numerai's Tournament

Ray tutorials from Anyscale

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

D3.js vs Vue.js examples

Exercises for the Analysis of Knowledge Graphs

Surrogate Modeling Toolbox

CNN image style transfer 🎨.

現代の JavaScript チュートリアル

exercise for nndl

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

Simplified implementations of deep learning related works

Pytorch implementation of set transformer

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Here you will find Guides mainly for Sonarr/Radarr/Bazarr and everything related to it.

Deep learning based speech source separation using Pytorch

We are building an open database of COVID-19 cases with chest X-ray or CT images.

Python Bootcamp docs and lectures (UC Berkeley)

📧 An Example of using an HTML form (e.g: "Contact Us" on a website) to send Email without a Backend Server (using a Google Script) perfect for static websites that need to collect data.

TensorFlow Tutorials

Visual Search using Apache MXNet and gluon

Awesome tool for create tutorial walkthrough or coach tour

Graph Convolution Network for NLP

A short tutorial on performing fine tuning or transfer learning in PyTorch.

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Code and Examples for Relevant Search

Oriented Response Networks, in CVPR 2017

An example attention network with simple dataset.

This is an LSTM stock prediction using Tensorflow with Keras on top.

for code created as part of http://studywolf.wordpress.com

Data Engineering on Google Cloud Platform

📓 deepleaning and cv notes.

Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

MAttNet: Modular Attention Network for Referring Expression Comprehension

An introduction to data science in Python, for people with no programming experience.

On the "steerability" of generative adversarial networks

Source code and data analyses for the Sci-Hub Coverage Study

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

Learning Machine Learning, The Chinese Taoist Way

A collection of all my datasets

Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation

A introduction to purrr

中国象棋alpha zero程序

add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

Tutti is a Swift library that lets you create tutorials, hints and onboarding experiences.

《统计学习方法》的代码实现

Ten simple rules for better figures

A sample code of data augmentation methods for wearable sensor data (time-series data)

Explains nlp building blocks in a simple manner.

Natural Language Processing with TensorFlow, published by Packt

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

Client side rendering of Jupyter notebooks

Code for our paper "Hamiltonian Neural Networks"

主要存储Datawhale组队学习中“推荐系统”方向的资料。