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GitHub / hristo-vrigazov / dnn.cool
A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hristo-vrigazov%2Fdnn.cool
Stars: 49
Forks: 2
Open Issues: 0
License: mit
Language: Python
Repo Size: 958 KB
Dependencies:
14
Created: almost 4 years ago
Updated: about 1 month ago
Last pushed: over 2 years ago
Last synced: about 1 month ago
Topics: catalyst, deep-learning, deep-neural-network, deep-neural-networks, multitask-learning, multitasking, pytorch, task-composition, task-precondition
Files
Dependencies
- catalyst ==20.12
- matplotlib *
- numpy *
- pandas *
- scikit_learn *
- torch *
- tqdm *
- treelib *