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Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io
Learn NLP Tutorials with HuggingFace Transformers
Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
An Extensible Continual Learning Framework Focused on Language Models (LMs)
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
We propose the Text-to-CQL task and provide the dataset.
DSIR large-scale data selection framework for language model training
日本語LLMまとめ - Overview of Japanese LLMs
Multiple NVIDIA GPUs or Apple Silicon for Large Language Model Inference?
CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/
Lightweight and High-Fidelity End-to-End Text-to-Speech with Multi-Band Generation and Inverse Short-Time Fourier Transform with Multilingual Cleaners
A Traditional-Chinese instruction-following model with datasets based on Alpaca.
A list of totally open alternatives to ChatGPT
A Pokemon Showdown Battle Bot written in Python
Accompaniment and Continuation Music AI Models and Implementation
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech
Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Removing people from complex backgrounds in real time using TensorFlow.js in the web browser