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#### Describe the workflow you want to enable
If the target is discrete multiclass, but ordinal (ordered) in nature (e.g. Likert scale, user ratings, preference levels), as opposed to nominal, wo…
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## Methodology Discussion
SentinelGuard is supposed to integrate Large Language Model Services (LLMs), Machine Learning & Deep Learning (ML&DL) methods, and Rule-based filters to identify intrusion…
zhsh9 updated
1 month ago
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Is there a narrative for containers that would like to load a big dataset ahead of time and then operate in turbo mode with persisting that data across job invocations?
Aka amortizing long startup …
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I've been using Bull for more than a year in a large-scale, high-performance application (1000+ jobs per minute, 24/7)... and am very happy with it. On the horizon I have the need to add priority to o…
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I discovered this while working on a codec with similar design principles. (Hi!) Specifically, I discovered this after learning about QOA's dynamic slice quantization, and the optimization it performs…
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This is the list of the mandatory courses of AIDE for which you have to make a project:
**First Year**
- [x] Data Mining and Machine Learning
- [x] Large Scale and Multistructured Databases
- […
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### **综述**
2019,arxiv,. Reinforcement Learning Applications
2019,CSUR,. Deep learning based recommender system: A survey and new perspectives
### **RL基础**
### **业界papers**
- 2019, IJCAI, Go…
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## 🚀 Feature
### Motivation
For large scale Lightning deployments, it is very useful to collect certain types of trainer runtime event into an analytics system, so engineers can monitor the …
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-- Process 0 terminated with the following error:
Traceback (most recent call last):
File "C:\Users\11500\.conda\envs\GPTSoVits\lib\site-packages\torch\multiprocessing\spawn.py", line 76, in _wrap…
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The UAVs should be able to use reinforcement learning to accomplish their mission rather than loading from the simulation matrix. This would be a parallel method to running large-scale experiments. …