Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.
MIT License
The official implementation of TedRec.
[CVPR2020] Adversarial Latent Autoencoders
Complete evaluation of traditional "SK-learn like" machine learning models for post-operative com...
StyleGAN - Official TensorFlow Implementation
Unsupervised Language Modeling at scale for robust sentiment classification
FILM: Frame Interpolation for Large Motion, In ECCV 2022.
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detec...
A constantly updated python machine learning cheatsheet
Use advanced feature engineering strategies and select best features from your data set with a si...
Differentiable Factor Graph Optimization for Learning Smoothers @ IROS 2021
rater, recommender systems. 推荐模型,包括:DeepFM,Wide&Deep,DIN,DeepWalk,Node2Vec等模型实现,开箱即用。
Fast Python Collaborative Filtering for Implicit Feedback Datasets
A TensorFlow recommendation algorithm and framework in Python.
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregress...