Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Natural Language Understanding library for intent classification and entity extraction.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Emerging human-behavior simulation capability in LLM agents.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Pure-Rust tokenizer for GGUF models, compatible with llama.cpp tokenization.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Golang implementation of Punkt sentence tokenizer.
A C++ library for unsupervised text tokenization and detokenization, widely used in modern NLP models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Chrome extension that uses local LLMs to assist with writing and drafting responses based on the context of your open tabs.
An open-source tool for recording screen and audio activity with AI-powered search, automations, and support for local LLMs. opensource.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Simple and efficient library to minimize expensive and noisy black-box functions.
High-performance, high-precision CPU, GPU, and memory profiler for Python.
Topic Modelling the Sarah Palin emails.
A CLI utility to train and deploy ML/DL models on AWS SageMaker.
For calculating global feature importance using Shapley values.
A tool to help you configure, organize, log and reproduce experiments.
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...).
Fast MATLAB-syntax runtime with automatic CPU/GPU execution and fused array kernels.