-
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.
-
InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
-
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.
-
BigDL
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.
Intel BigDL for Spark which again is for Spark.
-
AWS Deep Learning more deep learning.
-
Bayesian Inference which is more specific.
Related posts
-
How to Get Started with Scikit-Learn: A Beginner-Friendly Guide to Machine Learning in Python
-
Show HN: Krixik – Easily sequence small/specialized AI models (pip installable)
-
[Python] How do we lazyload a Python module? - analyzing LazyLoader from MLflow
-
Show HN: Terge – an easy-to-use library for merging AI models
-
Show HN: Cognita – open-source RAG framework for modular applications