| githubharald/CTCDecoder |
577 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Python |
| Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python. |
| githubharald/CTCWordBeamSearch |
453 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
C++ |
| Connectionist Temporal Classification (CTC) decoder with dictionary and language model. |
| lmnt-com/haste |
298 |
|
0 |
0 |
over 2 years ago |
0 |
|
11 |
apache-2.0 |
C++ |
| Haste: a fast, simple, and open RNN library |
| DeepX-inc/machina |
226 |
|
1 |
0 |
over 6 years ago |
2 |
April 18, 2019 |
31 |
mit |
Python |
| Deep Reinforcement Learning framework |
| damitkwr/ESRNN-GPU |
188 |
|
0 |
0 |
over 6 years ago |
0 |
|
4 |
mit |
Python |
| PyTorch GPU implementation of the ES-RNN model for time series forecasting |
| lcswillems/torch-ac |
134 |
|
0 |
0 |
over 3 years ago |
0 |
|
5 |
mit |
Python |
| Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO |
| rossgoodwin/lexiconjure |
129 |
|
0 |
0 |
about 10 years ago |
0 |
|
2 |
other |
Python |
| Twitter bot generating invented words and definitions using RNN + genetic algorithm |
| AntoineTheb/RNN-RL |
64 |
|
0 |
0 |
about 4 years ago |
0 |
|
2 |
|
Python |
| Experiments with reinforcement learning and recurrent neural networks |
| jldbc/Tensorflow_ML_Algorithms |
40 |
|
0 |
0 |
about 9 years ago |
0 |
|
0 |
|
Python |
| Implementations of machine learning algorithms in Tensorflow: MLP, RNN, autoencoder, PageRank, KNN, K-Means, logistic regression, and OLS regression |
| gopala-kr/ai-applications |
31 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
mit |
|
| roadmap to applied ai |
