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machinelearning

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Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

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NoteDance / Note

Star 35

Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.

python machine-learning reinforcement-learning deep-learning neural-network tensorflow ml deep-reinforcement-learning pytorch artificial-intelligence rl machinelearning deeplearning dl neuralnetwork drl distributed-training reinforcementlearning parallel-training deepreinforcementlearning
  • Updated May 12, 2024
  • Python

microsoft / llmops-promptflow-template

Star 167

LLMOps with Prompt Flow is a "LLMOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.

python docker workflow machine-learning cloud azure evaluation prompt orchestration experimentation machinelearning aml mlops azuremachinelearning llm promptengineering llmops genai largelanguagemodels promptflow
  • Updated May 10, 2024
  • Python
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AgnostiqHQ / covalent

Star 700

Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

python workflow data-science machine-learning deep-learning hpc quantum parallelization pipelines orchestration quantum-computing machinelearning covalent workflow-management hacktoberfest data-pipeline hpc-applications workflow-automation quantum-machine-learning machinelearning-python
  • Updated May 10, 2024
  • Python
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