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TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…
校招、秋招、春招、实习好项目，带你从零动手实现支持LLama2/3和Qwen2.5的大模型推理框架。
Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis
A high-throughput and memory-efficient inference and serving engine for LLMs
Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.
tensorrt for yolo series (YOLOv11,YOLOv10,YOLOv9,YOLOv8,YOLOv7,YOLOv6,YOLOX,YOLOv5), nms plugin support
A self-ailgnment method for role-play. Benchmark for role-play. Resources for "Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment".
🎙️🤖Create, Customize and Talk to your AI Character/Companion in Realtime (All in One Codebase!). Have a natural seamless conversation with AI everywhere (mobile, web and terminal) using LLM OpenAI …
[CVPR 2024] DeepCache: Accelerating Diffusion Models for Free
ChineseNMT: Translate English to Chinese with PyTorch Implementation of Transformer
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
🚀 PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)"
[EMNLP 2023 Main] Sparse Low-rank Adaptation of Pre-trained Language Models
A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]
📷 EasyPhoto | Your Smart AI Photo Generator.
Graphonomy: Universal Human Parsing via Graph Transfer Learning
PyTorch implements `SwinIR: Image Restoration Using Swin Transformer` paper.
Generative Models by Stability AI
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Stable Diffusion web UI
MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型，实现了包括增量预训练(PT)、有监督微调(SFT)、RLHF、DPO、ORPO、GRPO。
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
GPT 3.5/4 with a Chat Web UI. No API key required.