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Author SHA1 Message Date
Thierry Jean
10dbf292f6
Merge 484ceb05f9 into a9cfd245f6 2024-11-12 00:01:55 +05:30
Joseph Misiti
a9cfd245f6
Merge pull request #1001 from debashishc/master 
docs(readme): added EspNet tool for speech processing tasks in Python
 2024-11-11 11:08:31 -05:00
Joseph Misiti
3e760ed5c0
Merge pull request #1000 from anmorgan24/add-opik 
Add Opik
 2024-11-11 11:07:40 -05:00
debashishc
5f7293e5c2
docs(readme): made EspNet description more concise 2024-09-21 21:39:23 +10:00
debashishc
d5de41ccbe
docs(readme): add EspNet for Speech Processing Tasks 2024-09-21 21:36:08 +10:00
Abby Morgan
50ecf61e10
Add Opik 
Comet recently sunset CometLLM and in its place launched Opik, a tool with most of the same capabilities as the old CometLLM but with a whole host of additional features and capabilities. This PR updates the readme accordingly.

Signed-off-by: Abby Morgan abigailm@comet.com
 2024-09-20 15:20:01 -04:00
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@ -131,6 +131,7 @@ Further resources:
- [Federated Learning](#python-federated-learning) - [Federated Learning](#python-federated-learning)
- [Kaggle Competition Source Code](#python-kaggle-competition-source-code) - [Kaggle Competition Source Code](#python-kaggle-competition-source-code)
- [Reinforcement Learning](#python-reinforcement-learning) - [Reinforcement Learning](#python-reinforcement-learning)
- [Speech Recognition](#python-speech-recognition)
- [Ruby](#ruby) - [Ruby](#ruby)
- [Natural Language Processing](#ruby-natural-language-processing) - [Natural Language Processing](#ruby-natural-language-processing)
- [General-Purpose Machine Learning](#ruby-general-purpose-machine-learning) - [General-Purpose Machine Learning](#ruby-general-purpose-machine-learning)
@ -1277,6 +1278,7 @@ be
* [Frouros](https://github.com/IFCA/frouros): Frouros is an open source Python library for drift detection in machine learning systems. * [Frouros](https://github.com/IFCA/frouros): Frouros is an open source Python library for drift detection in machine learning systems.
* [CometML](https://github.com/comet-ml/comet-examples): The best-in-class MLOps platform with experiment tracking, model production monitoring, a model registry, and data lineage from training straight through to production. * [CometML](https://github.com/comet-ml/comet-examples): The best-in-class MLOps platform with experiment tracking, model production monitoring, a model registry, and data lineage from training straight through to production.
* [Okrolearn](https://github.com/Okerew/okrolearn): A python machine learning library created to combine powefull data analasys feautures with tensors and machine learning components, while mantaining support for other libraries. * [Okrolearn](https://github.com/Okerew/okrolearn): A python machine learning library created to combine powefull data analasys feautures with tensors and machine learning components, while mantaining support for other libraries.
* [Opik](https://github.com/comet-ml/opik): Evaluate, trace, test, and ship LLM applications across your dev and production lifecycles.
<a name="python-data-analysis--data-visualization"></a> <a name="python-data-analysis--data-visualization"></a>
#### Data Analysis / Data Visualization #### Data Analysis / Data Visualization
@ -1474,6 +1476,10 @@ be
* [RLlib](https://github.com/ray-project/ray) - RLlib is an industry level, highly scalable RL library for tf and torch, based on Ray. It's used by companies like Amazon and Microsoft to solve real-world decision making problems at scale. * [RLlib](https://github.com/ray-project/ray) - RLlib is an industry level, highly scalable RL library for tf and torch, based on Ray. It's used by companies like Amazon and Microsoft to solve real-world decision making problems at scale.
* [DI-engine](https://github.com/opendilab/DI-engine) - DI-engine is a generalized Decision Intelligence engine. It supports most basic deep reinforcement learning (DRL) algorithms, such as DQN, PPO, SAC, and domain-specific algorithms like QMIX in multi-agent RL, GAIL in inverse RL, and RND in exploration problems. * [DI-engine](https://github.com/opendilab/DI-engine) - DI-engine is a generalized Decision Intelligence engine. It supports most basic deep reinforcement learning (DRL) algorithms, such as DQN, PPO, SAC, and domain-specific algorithms like QMIX in multi-agent RL, GAIL in inverse RL, and RND in exploration problems.
<a name="python-speech-recognition"></a>
#### Speech Recognition
* [EspNet](https://github.com/espnet/espnet) - ESPnet is an end-to-end speech processing toolkit for tasks like speech recognition, translation, and enhancement, using PyTorch and Kaldi-style data processing.
<a name="ruby"></a> <a name="ruby"></a>
## Ruby ## Ruby