The collection of pre-trained, state-of-the-art AI models for ailia SDK

Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Andr…

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Fast Neural Machine Translation in C++

A Flutter plugin that enables interaction with the Azure Cognitive Services Speech-To-Text API

Port of OpenAI's Whisper model in C/C++

Faster Whisper transcription with CTranslate2

The Free and Open Source Cross Platform YUV Viewer with an advanced analytics toolset

📚 Japanese and Chinese dictionaries for Yomitan.

LLM101n: Let's build a Storyteller

Read Japanese manga inside browser with selectable text.

Web crawler for creating personal copies of Japanese dictionaries

Japanese learning resources.

Deep Reinforcement Learning: Zero to Hero!

NAND is a logic simulator suite made entirely from NAND gates

A minimal GPU design in Verilog to learn how GPUs work from the ground up

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

图解react源码, 用大量配图的方式, 致力于将react原理表述清楚.

Papers discussed in the Auto-GPT Reading Group

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Firefly: 大模型训练工具，支持训练Qwen2.5、Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型

A high-throughput and memory-efficient inference and serving engine for LLMs

The official GitHub page for the survey paper "A Survey of Large Language Models".

MARVEL: Raster Gray-level Manga Vectorization via Primitive-wise Deep Reinforcement Learning

Awesome Japanese Learning Resources

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.