Stars
Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O
👁️ An authorial set of fundamental Python recipes on Computer Vision and Digital Image Processing.
AI Image Signal Processing and Computational Photography. Official library for NTIRE (CVPR) and AIM (ICCV/ECCV) Challenges. You will find Learned ISPs, RAW Restoration-Upsampling-Reconstruction, Im…
The easiest way to deploy agents, models, RAG, pipelines and more. No MLOps. No YAML.
Thunder gives you PyTorch models superpowers for training and inference. Unlock out-of-the-box optimizations for performance, memory and parallelism, or roll out your own.
The Museum of Modern Art (MoMA) collection data
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.