lyogavin / airllm

Python library that runs large language model inference layer by layer, so 70B-class models fit on a single 4GB GPU without quantization.

NVIDIA / accelerated-computing-hub

NVIDIA's curated collection of interactive GPU computing tutorials, syllabi, and guides covering CUDA, Python, and accelerated libraries.

higgsfield-ai / higgsfield

Open-source GPU cluster orchestrator and PyTorch-based framework for training LLMs with billions to trillions of parameters.

NVlabs / sionna

Sionna: An Open-Source Library for Research on Communication Systems

h2oai / h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

datawhalechina / diy-llm

Covers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning | 涵盖预训练数据、分词器、Transformer、MoE、分布式训练、缩放定律、推理与对齐，6 项渐进代码作业，掌握 LLM 全栈知识

fastai / fastai

The fastai deep learning library