| FreedomIntelligence/TextClassificationBenchmark |
577 |
|
0 |
0 |
over 6 years ago |
0 |
|
|
mit |
Python |
| A Benchmark of Text Classification in PyTorch |
| DeepMark/deepmark |
363 |
|
0 |
0 |
over 9 years ago |
0 |
|
4 |
apache-2.0 |
Lua |
| THE Deep Learning Benchmarks |
| BenevolentAI/guacamol_baselines |
117 |
|
0 |
0 |
over 2 years ago |
0 |
|
8 |
mit |
Python |
| Baselines models for GuacaMol benchmarks |
| seba-1511/lstms.pth |
110 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| PyTorch implementations of LSTM Variants (Dropout + Layer Norm) |
| stefbraun/rnn_benchmarks |
73 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Python |
| RNN benchmarks of pytorch, tensorflow and theano |
| MarcoMeter/endless-memory-gym |
60 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
mit |
Python |
| Challenging Memory-based Deep Reinforcement Learning Agents |
| hjian42/automatic-personality-prediction |
33 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
|
Python |
| [AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings |
| guolinke/deep-learning-benchmarks |
31 |
|
0 |
0 |
almost 9 years ago |
0 |
|
1 |
|
Python |
| MaximumEntropy/cudnn_rnn_theano_benchmarks |
22 |
|
0 |
0 |
about 9 years ago |
0 |
|
0 |
|
Python |
| successar/Eraser-Benchmark-Baseline-Models |
14 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
|
Python |
| Baseline for ERASER benchmark |
