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Python-based inferential statistics, hypothesis testing and regression framework.
An English (Porter2) stemming implementation in Elixir.
StreamingLLM is a technique that can enable language models like Llama-2 to have conversations that span across millions of tokens.
A simple Python library for building and testing recommender systems.
A neuro-symbolic framework for building applications with LLMs at the core.
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Hyperparameter Optimization for TensorFlow, Keras and PyTorch.
List of AI tools suggested by lablab.ai for their hackathons.
Authors: Cal.com core team, Dexter Storey,.
Run GFPGAN created by tencentarc, the #1 AI model for Practical Face Restoration. Restore old photos or AI generated faces with GFPGAN.
Open-source machine learning framework by Google.
Suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.
Inference engine for TensorRT on Nvidia GPUs.
Coding agents help developers plan, implement, review, test, and debug software. For independent capability comparisons, see SWE-bench and.
The @testdriverai in any GitHub repo and TestDriver writes UI tests and catches regressions before they merge. AI-powered end-to-end testing.
Large Language Model Text Generation Inference.
Text preprocessing package for use in NLP tasks.
Creates, rewrites or summarizes written content with language models.
TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs).
Flexible, high-performance serving system for machine learning models.
A concise, technical introduction by Andriy Burkov.
Just like the IKEA Effect, but for the AI products. Try not to overenginner when working with LLMs.
Creates, rewrites or summarizes written content with language models.