Local inference for diffusion language models (LLaDA, Dream), written in Mojo
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- diffusion-models
- gguf
- inference
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Local inference for diffusion language models (LLaDA, Dream), written in Mojo
Language Model GRU with Python and Theano
🔥🔥 The extremely fast inference engine for decision model
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
STE80 Humanizer: agent skill that removes AI tells and rewrites text 80% of the way to ASD-STE100 (Simplified Technical English), the method Andrej Karpathy shared.
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
A tool for holistic analysis of language generations systems
An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.)
A SIP phone daemon with local speech and language models on Apple Silicon.
:hospital: Medical Text Mining and Information Extraction with spaCy
A 4B grounding foundation model for physical intelligence. Unifies detection, referring, pointing, OCR, GUI, and layout grounding, achieving SOTA overall across 34 benchmarks and improving robot generalization and data efficiency in controlled evaluations.
TranslatedTreat agents as functions, and write ideas as programs. Agent-native functional language with a CLI, Web IDE, goal-driven bots and live UI. Source-available; no AI training.
:sunrise: A comprehensive, cutting-edge open-source framework for next-generation Transformers/LLM, with compute-matched benchmarking and a platform for autonomous architecture research.
Turkish voice design with VoxCPM2 on a 4 GB GPU: describe a voice, pick a variant, read text in 30 languages. Patched audio.cpp, local UI in 30 languages, 14 ready-made voices.
CMake LSP Implementation
News reader with tags, scoring, and LLM
Quantum Computer Library for Everyone
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Simple embedding based text classifier inspired by fastText, implemented in tensorflow
Ear-bending noises and music
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
Algorand Smart Contracts in Python
Autonomous OODA-loop pentesting agent. Hermes brain, Kali + Playwright tools over MCP, ATT&CK as the Orient language.