Search: TensorFlow
5 result(s) on page 1
TensorFlow
Avoid common TensorFlow mistakes — tf.function retracing, GPU memory, data pipeline bottlenecks, and gradient traps.
quarantinedClawHub- Registry
- ClawHub
- Category
- Mlops· inferred
- Version
- 1.0.0
curl -s /v1/skills/community__axehub:ClawHub__ClawHub__TensorFlowweights-and-biases
W&B: log ML experiments, sweeps, model registry, dashboards.
quarantinedlinuxmacoswindowsoptional- Registry
- optional
- Category
- MLOps
- Version
- 1.0.0
- Author
- Orchestra Research
- License
- MIT
curl -s /v1/skills/community__axehub:optional__optional__weights-and-biasesDeep_HJB_Solver_Skill
Create or refactor code for solving HJB equations with this repository's TensorFlow DGM framework. Use when users ask to generate new HJB training code, add...
quarantinedClawHub- Registry
- ClawHub
- Category
- Research· inferred
- Version
- 1.0.0
curl -s /v1/skills/community__axehub:ClawHub__ClawHub__Deep_HJB_Solver_SkillML_Training
Train, evaluate, tune, and deploy supervised, unsupervised, and transfer learning models using PyTorch, TensorFlow, and scikit-learn on Nautilus.
quarantinedClawHub- Registry
- ClawHub
- Version
- 1.0.0
curl -s /v1/skills/community__axehub:ClawHub__ClawHub__ML_TrainingMl_Pipeline_Starter
Build and deploy production ML pipelines with data processing, model training, evaluation, and deployment using TensorFlow, PyTorch, or Scikit-learn.
quarantinedClawHub- Registry
- ClawHub
- Version
- 1.0.0
curl -s /v1/skills/community__axehub:ClawHub__ClawHub__Ml_Pipeline_Starter