6332 Open source projects that are alternatives of or similar to Afinn

Content for Udacity's Machine Learning curriculum

Convolutional neural networks for artistic style transfer.

This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube

This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。

Statistics and accepted paper list of NLP conferences with arXiv link

Code for the Deep Learning with PyTorch lesson

Scrape public filings of the buy + sell orders of U.S. senators and calculate their returns

A tiny 1000 line LLVM-based numeric specializer for scientific Python code.

Repository for code used in my blog posts

Machine learning notebooks in different subjects optimized to run in google collaboratory

Jupyter for Visual Studio Code

（完结）网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习

unet for image segmentation

Python notes in Turkish.

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

TensorFlow 中文教程 (Chinese Tutorials)

Keras- Multi Label Image Classification

阿水的数据竞赛开源分支

Totally Versatile Miscellanea for Pytorch

Tensor methods in Python with TensorLy

Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)

ccf2016 sougou final winner solution

My notes and superstitions about common machine learning algorithms

Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more

The source code for paper "Deep Image Spatial Transformation for Person Image Generation"

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

A collection of the latest AWS Security workshops

Awesome Artificial Intelligence Projects

《推荐系统实践》代码实现

项目注释+论文复现+算法竞赛

Core Data of HowNet and OpenHowNet Python API

Language sentiment analysis and neural networks... for trolls.

categorical variational autoencoder using the Gumbel-Softmax estimator

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

tutorial notebooks

Tensorflow implementation of "Learning Deep Features for Discriminative Localization"

A py.test plugin to validate Jupyter notebooks

Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple-benchmark/issues/3

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

风格迁移三部曲

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Deep Learning Zero to All - Pytorch

Data and code behind the Economist's Graphic Detail section.

PyTorch implementation of the CortexNet predictive model

Python Script to access ATT&CK content available in STIX via a public TAXII server

Code for "Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views" in CVPR'19

Kubeflow’s superfood for Data Scientists

Projections of COVID-19, in standardized format

Using approximate bayesian posteriors in deep nets for active learning

DSMR-protocol reader, telegram data storage and energy consumption visualizer. Can be used for reading the smart meter DSMR (Dutch Smart Meter Requirements) P1 port yourself at your home. You will need a cable and hardware that can run Linux software. Free for non-commercial use. A Docker implementation can be found here: https://github.com/xirixiz/dsmr-reader-docker

🔦 A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Deep Learning with PyTorch, published by Packt

koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras

experiments with python