Radam Tensorflow
Simple Tensorflow implementation of "On The Variance Of The Adaptive Learning Rate And Beyond"
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Deeprec | 1,068 | 2 years ago | 8 | gpl-3.0 | Python | |||||
| An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow. | ||||||||||
| Ripplenet | 347 | 4 years ago | 9 | mit | Python | |||||
| A tensorflow implementation of RippleNet | ||||||||||
| Adabound Tensorflow | 135 | 5 years ago | 5 | apache-2.0 | Python | |||||
| Simple Tensorflow implementation of "Adaptive Gradient Methods with Dynamic Bound of Learning Rate" (ICLR 2019) | ||||||||||
| Pl Predictions Using Fifa | 121 | a year ago | 9 | mpl-2.0 | Python | |||||
| Training a neural network to predict the outcome of a football match using fifa ratings | ||||||||||
| Deep Autoencoders For Collaborative Filtering | 111 | a year ago | 5 | apache-2.0 | Python | |||||
| Using Deep Autoencoders for predictions of movie ratings. | ||||||||||
| Recommender System Tutorial | 104 | a year ago | 3 | mit | Jupyter Notebook | |||||
| A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras. | ||||||||||
| Graph Networks | 101 | 5 years ago | ||||||||
| A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined | ||||||||||
| Radam Tensorflow | 95 | 4 years ago | 3 | mit | Python | |||||
| Simple Tensorflow implementation of "On The Variance Of The Adaptive Learning Rate And Beyond" | ||||||||||
| Tf Fit | 85 | 5 years ago | 3 | apache-2.0 | Python | |||||
| Fit your tensorflow model using fastai and PyTorch | ||||||||||
| Tensorflow Compress | 73 | a year ago | unlicense | Jupyter Notebook | ||||||
| Data compression using LSTM in TensorFlow | ||||||||||
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Python
Pytorch
Tensorflow
Paper
Rating