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yazdotai
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Master programming by recreating your favorite technologies from scratch.
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
Deep Reinforcement Learning Framework + Algorithms
🔥 2D and 3D Face alignment library build using pytorch
Tensoflow implementation of InsightFace (ArcFace: Additive Angular Margin Loss for Deep Face Recognition).
A news recommendation system tailored for user communities
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.
A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)
OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
Code AI platform with Code Search & Cody
Tensorflow implementation for [MobileFaceNet]
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
A python library for implementing a recommender system
RSTutorials: A Curated List of Must-read Papers on Recommender System.
Deep neural networks for voice conversion (voice style transfer) in Tensorflow
Some deep learning based recsys for open learning.
An Attention-Based User Behavior Modeling Framework for Recommendation
A list of deep learning implementations in biology
Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"
A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)
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A List of Recommender Systems and Resources
This repository includes some papers that I have read or which I think may be very interesting.
A collection of resources for Recommender Systems (RecSys)
A list of Medical imaging datasets.
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
2021-2022 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics
Fast and flexible AutoML with learning guarantees.