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BigDL
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, ModelScope, etc.
I was using Smile for some period - https://haifengl.github.io/ - it's quite small and lightweight Java lib with some very basic algorithms - I was using in particularly cauterization. Along with this it provides Scala API.
I haven't checked in on this project in a long time, but Breeze is something akin to NumPy/SciPy.
Microsoft ML for Spark gets you a range of powerful ML features on Spark.
Intel BigDL for Spark which again is for Spark.
AWS Deep Learning more deep learning.
Bayesian Inference which is more specific.