💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
- nlp
- natural-language-processing
- natural-language-understanding
- language-model
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💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Open source real-time translation app for Android that runs locally
Hackable and optimized Transformers building blocks, supporting a composable construction.
C# pure functional programming framework - come and get declarative!
Open-source offline translation library written in Python
Superduper: End-to-end framework for building custom AI applications and agents.
:zap: Primus, the creator god of the transformers & an abstraction layer for real-time to prevent module lock-in.
State of the Art Natural Language Processing
Seamlessly integrate LLMs into scikit-learn.
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
MLeap: Deploy ML Pipelines to Production
An advanced, but easy to use, platform for writing functional applications in Java 8.
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.
Neural question generation using transformers
This Word Does Not Exist
Extensions for F#
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
A computer, compiled into the weights of a language model. An exact CPU inside Qwen3.5-4B, with Gated DeltaNet state as RAM.
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
Tiny world model generates games and stream ac plays them all on Pico 2W
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.