pytorch

明医 (MING)：中文医疗问诊大模型

Research of DeepSeek Engram Architecture based on Qwen-3 and Stable Diffusion series.

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

From the Tensor to Stable Diffusion, a rough outline for a 10 week course.

Stable Diffusion implemented from scratch in PyTorch

[TPAMI 2023] LibFewShot: A Comprehensive Library for Few-shot Learning.

A Non-Autoregressive Text-to-Speech (NAR-TTS) framework, including official PyTorch implementation of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022)

Beautiful and Easy to use Stable Diffusion WebUI

从 NLP 到 LLM 的算法全栈教程，在线阅读地址：https://datawhalechina.github.io/base-llm/

CodeProject.AI Server is a self contained service that software developers can include in, and distribute with, their applications in order to augment their apps with the power of AI.

This custom_node for ComfyUI adds one-click "Virtual VRAM" for any UNet and CLIP loader as well MultiGPU integration in WanVideoWrapper, managing the offload/Block Swap of layers to DRAM *or* VRAM to maximize the latent space of your card. Also includes nodes for directly loading entire components (UNet, CLIP, VAE) onto the device you choose

Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

SGLang-Omni empowers high-performance serving for TTS, ASR, speech and omni models.

🤖 A PyTorch library of curated Transformer models and their composable components

A minimalist SOTA LaTeX OCR model with only 20M parameters, running in browser. Full training pipeline available for self-reproduction. | 超轻量SOTA LaTeX公式识别模型，仅20M参数量，可在浏览器中运行。训练全流程代码开源，以便自学复现。

:rocket: State-of-the-art parsers for natural language.