Update calls for contributions

JZakraoui · Mar 1, 2021 · eaac6ba · eaac6ba
1 parent 03a6225
commit eaac6ba
Showing 1 changed file with 13 additions and 18 deletions.
diff --git a/call_for_contributions.md b/call_for_contributions.md
@@ -2,18 +2,21 @@
 
 This is a constantly-updated list of code examples that we're currently interested in.
 
+--
 
 ## Transformer model for MIDI music generation
 
 [Reference TF/Keras implementation](https://github.com/jason9693/MusicTransformer-tensorflow2.0)
 
+--
 
 ## StyleGAN / StyleGAN2
 
-[Reference paper 1](https://arxiv.org/abs/1812.04948) [2](https://arxiv.org/abs/1912.04958)
-[Reference TF implementation](https://github.com/NVlabs/stylegan2)
+- [Reference paper 1](https://arxiv.org/abs/1812.04948)
+- [2](https://arxiv.org/abs/1912.04958)
+- [Reference TF implementation](https://github.com/NVlabs/stylegan2)
 
- - Currently being worked on by @parthivc and @Korusuke as of 07/14/20. See [issue #144](https://github.com/keras-team/keras-io/issues/144)
+--
 
 ## Improve next-frame prediction with ConvLSTM
 
@@ -24,23 +27,21 @@ Recommendations:
 - Find a better, more interesting dataset
 - Make it work better
 - Add detailed explanations
-- As of 6/23/20, this is being worked on. See [issue #112](https://github.com/keras-team/keras-io/issues/112)
 
 
+--
+
 ## Text-to-speech
 
 [Example TF2/Keras implementation](https://github.com/dathudeptrai/TensorflowTTS)
 
-
-## Speech recognition
-
-[Example TF2/Keras implementation](https://github.com/rolczynski/Automatic-Speech-Recognition)
-
+--
 
 ## Learning to rank
 
 [Reference Kaggle competition](https://www.kaggle.com/c/wm-2017-learning-to-rank)
 
+--
 
 ## Large-scale multi-label text classification
 
@@ -49,19 +50,13 @@ The tokenization and extraction of TF-IDF ngrams should be done with the `TextVe
 
 The dataset should have at least 50k samples and there should be at least a dozen of labels.
 
+--
 
 ## DETR: End-to-End Object Detection with Transformers
 
-[Reference implementation](https://github.com/facebookresearch/detr)
-[TF/Keras implementation](https://github.com/auvisusAI/detr-tensorflow)
-
-
-
-## Image similarity search engine using triplet loss
+- [Reference implementation](https://github.com/facebookresearch/detr)
+- [TF/Keras implementation](https://github.com/auvisusAI/detr-tensorflow)
 
-A convnet trained with a triplet loss to estimate image similarity.
-It could be trained on something like [this dataset](https://sites.google.com/view/totally-looks-like-dataset)
-(other datasets are also possible).