| cheungdaven/DeepRec |
1,068 |
|
0 |
0 |
almost 4 years ago |
0 |
|
8 |
gpl-3.0 |
Python |
| An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow. |
| hwwang55/RippleNet |
347 |
|
0 |
0 |
over 6 years ago |
0 |
|
9 |
mit |
Python |
| A tensorflow implementation of RippleNet |
| taki0112/AdaBound-Tensorflow |
135 |
|
0 |
0 |
almost 7 years ago |
0 |
|
5 |
apache-2.0 |
Python |
| Simple Tensorflow implementation of "Adaptive Gradient Methods with Dynamic Bound of Learning Rate" (ICLR 2019) |
| BradleyGrantham/pl-predictions-using-fifa |
121 |
|
0 |
0 |
over 3 years ago |
0 |
|
9 |
mpl-2.0 |
Python |
| Training a neural network to predict the outcome of a football match using fifa ratings |
| artem-oppermann/Deep-Autoencoders-For-Collaborative-Filtering |
111 |
|
0 |
0 |
almost 3 years ago |
0 |
|
5 |
apache-2.0 |
Python |
| Using Deep Autoencoders for predictions of movie ratings. |
| xei/recommender-system-tutorial |
104 |
|
0 |
0 |
about 3 years ago |
0 |
|
3 |
mit |
Jupyter Notebook |
| A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras. |
| yazdotai/graph-networks |
101 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
|
| A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined |
| taki0112/RAdam-Tensorflow |
95 |
|
0 |
0 |
about 6 years ago |
0 |
|
3 |
mit |
Python |
| Simple Tensorflow implementation of "On The Variance Of The Adaptive Learning Rate And Beyond" |
| fastai/tf-fit |
85 |
|
0 |
0 |
over 6 years ago |
0 |
|
3 |
apache-2.0 |
Python |
| Fit your tensorflow model using fastai and PyTorch |
| byronknoll/tensorflow-compress |
73 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
unlicense |
Jupyter Notebook |
| Data compression using LSTM in TensorFlow |
