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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

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Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, 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 15, 2024
  • Python
superduperdb

SuperDuperDB / superduperdb

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🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.

python data database ai mongodb chatbot ml transformers inference torch pytorch pretrained-models semantic-search rag mlops distributed-ml vector-search llmops llm-serving llm-inference
  • Updated May 15, 2024
  • Python
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