| kvfrans/openai-cartpole |
129 |
|
0 |
0 |
over 7 years ago |
0 |
|
8 |
|
Python |
| random search, hill climbing, policy gradient |
| forkachild/reel-search-android |
103 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
mit |
Java |
| Reel Search for Android is a UI/UX design for autocomplete action. It is a beautiful minimalistic addition to any use case. |
| xiaoiker/NAS-With-Code |
72 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
apache-2.0 |
|
| Neural Architecture Search (NAS) papers with code |
| ar-nowaczynski/spaceopt |
42 |
|
0 |
0 |
almost 4 years ago |
8 |
July 10, 2022 |
0 |
mit |
Python |
| Hyperparameter optimization via gradient boosting regression |
| dayihengliu/Text-Infilling-Gradient-Search |
30 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
|
Python |
| Code for ACL2019 paper "TIGS: An Inference Algorithm for Text Infilling with Gradient Search" |
| ProbabilisticNumerics/probabilistic_line_search |
20 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface. |
| A-suozhang/Papers-of-NAS |
15 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Python |
| Personal Digest of NAS (Under Construction 🛠) |
| gibipara92/learning-explanations-hard-to-vary |
13 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard to vary" |
| liamcli/gaea_release |
7 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Python |
| Code release to accompany paper "Geometry-Aware Gradient Algorithms for Neural Architecture Search." |
