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adversarialnetspapers

The classical papers and codes about generative adversarial nets

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

autoweka

Auto-WEKA

awesome-deep-learning-papers

The most cited deep learning papers

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-gpt3

awesome-mlops

A curated list of references for MLOps

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

benchmarking-gnns

Repository for benchmarking graph neural networks

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

caffenet-benchmark

Evaluation of the CNN design choices performance on ImageNet-2012.

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.３4%.

ckan

CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers datahub.io, catalog.data.gov and data.gov.uk among many other sites.

clevr-iep

Inferring and Executing Programs for Visual Reasoning

conve

Convolutional 2D Knowledge Graph Embeddings resources

datasciencespcoursenotes

Compiled Notes for all 9 courses in the Coursera Data Science Specialization

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-rl-tensorflow

TensorFlow implementation of Deep Reinforcement Learning papers

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

devol

Automated deep neural network design with genetic programming

dl-setup

Instructions for setting up the software on your deep learning machine

donkeycar

Open source hardware and software platform to build a small scale self driving car.

gae

Implementation of Graph Auto-Encoders in TensorFlow

gmaps-radius

Google Map allowing a radius to be added

greentaxisnyc

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

kaggle-past-solutions

A searchable compilation of Kaggle past solutions

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅