Gitingest - Turn any Git repository into a simple text digest of its codebase so it can be fed into any LLM.
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Jan - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs.
An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
Google TPU optimizations for transformers models.
Python-based meta-heuristic optimization techniques.
Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
Machine Learning Framework from Industrial Practice.
Resource scheduling and cluster management for AI.
This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
Enables single machine or distributed training and evaluation of deep learning models.
A Julia framework for probabilistic graphical models.
Python library for working with Probabilistic Graphical Models.
Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone.
A JavaScript application framework for machine learning and its engineering.
A better version of Jieba, developed by Peking University.
Production-Ready LLM Agent SDK for Every Developer.
Use AutoML to do model compression.
A platform for reproducible and scalable machine learning and deep learning on kubernetes.
A high-speed inference engine for deploying LLMs locally.
A library for machine learning that builds predictions using a linear regression.
A library for machine learning that builds predictions using a linear regression.
A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
Another Python Machine Learning Library.
Algorithmic Trading with Machine Learning.