| eugeneyan/ml-surveys |
2,538 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
mit |
|
| 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc. |
| omarsar/nlp_overview |
958 |
|
0 |
0 |
about 6 years ago |
0 |
|
5 |
mit |
CSS |
| Overview of Modern Deep Learning Techniques Applied to Natural Language Processing |
| awarebayes/RecNN |
313 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Reinforced Recommendation toolkit build around pytorch 1.7 |
| aleju/self-driving-truck |
271 |
|
0 |
0 |
almost 9 years ago |
0 |
|
7 |
mit |
Python |
| Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning |
| cai-lw/KBGAN |
170 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
mit |
Python |
| Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071 |
| JasonYao81000/ADL2019 |
19 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Applied Deep Learning (2019 Spring) @ NTU |
| arunarn2/DeepPathwithTensorforce |
8 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Python |
| DeepPath - A Deep Reinforcement Learning Method for Knowledge Graph Reasoning using TensorForce |
| leuchine/concept-stock-recommendation |
8 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Python |
| Code for the paper Mining Evidences for Concept Stock Recommendation, |
| ranamihir/visual_embeddings_for_rl |
6 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| Learning Visual Embeddings for Reinforcement Learning |
| massquantity/DBRL |
5 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Python |
| Dataset Batch(offline) Reinforcement Learning for recommender system |
