github.com
A simple, but essential Bayesian optimization package, written in Python.
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github.com
GPT Migrate team is working on adding for the agent.
github.com
Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
github.com
Official inference framework for 1-bit LLMs, by Microsoft. opensource.
github.com
Accessible large language models via k-bit quantization for PyTorch.
pypi.org
Python bindings for the BLLIP natural language parser.
github.com
BigScience Large Open-science Open-access Multilingual Language Model.
boringreport.org
Boring Report: News by AI - Information Without the Noise.
github.com
Everything you need to know to build your own RAG application.
github.com
Breeze is a numerical processing library for Scala.
bronze.ai
Works with speech, voice, music or other audio using machine-learning models.
github.com
) - Self-sovereign machine learning training tool for nostr global feed. Trained models can be monetized/distributed over nostr private messages. Your pre-paid model subscribers register via lightning payments.
github.com
Authors:, Dexter Storey, Ted Spare.
calculatedriskblog.com
Creates, rewrites or summarizes written content with language models.
topepo.github.io
Documentation for the caret package.
github.com
C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.
cerebras.ai
Helps teams build, deploy, observe or operate machine-learning systems.
chassisml.io
Turns models into ML-friendly containers that run just about anywhere.
chatglm.cn
基于 GLM 大模型，不只是 AI 助手，更是能帮你把事办成的 Agent。从理解目标到调用工具、从拆解任务到协调配合，把回答变成交付结果。.
github.com
ChatGLM2-6B is the second-generation version of the open-source bilingual (Chinese-English) chat model ChatGLM-6B.
ChatGPT isn't really new but simply an iteration of the class war that's been waged since the start of the industrial revolution.
chathelp.ai
✓ Free AI Chat Widget - for your website.
github.com
Natural Language Processing in Clojure (opennlp).
codeflash.ai
Codeflash uses AI to automatically find the most optimized version of your Python code through benchmarking — while verifying it's correct.