Python-based inferential statistics, hypothesis testing and regression framework.
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State of LLM Apps 2023 · Streamlit provides machine-learning models, research, training resources, or evaluation tools.
DSPy: The framework for programming — not prompting — foundation models.
A library for email Spam filtering built on top of NLTK.
Pure-Rust tokenizer for GGUF models, compatible with llama.cpp tokenization.
Selfies with Sama provides machine-learning models, research, training resources, or evaluation tools.
SAMOA is a framework that includes distributed machine learning for data streams with an interface to plug-in different stream processing platforms.
Robust Bayesian Optimization framework.
RoamAround.io provides machine-learning models, research, training resources, or evaluation tools.
Give feedback to the Saga team so we can make more informed product decisions. Powered by Canny.
An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.
An open dataset with 30 trillion tokens for training Large Language Models.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Fast and simple framework for building and running distributed applications.
A "machine learning framework to automate text-and voice-based conversations.".
RambleFix transcribes your spoken words into polished emails, articles, summaries, and action plans.
Evaluation framework for your AI Application.
A C library implementing the rudiments of a toolchain for working with adaptive probabilistic assembler programs.
A PyTorch-Based Framework for Deep Learning in Computer Vision.
Deep learning framework to train, deploy, and ship AI products Lightning fast.
A Modular Framework for Multi-Modal Tabular Learning.
Tensors and Dynamic neural networks in Python with strong GPU acceleration.
A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.
Python Library for Probabalistic Programming (Bayesian Inference and Machine Learning).