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RenderDoc is a stand-alone graphics debugging tool.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")
Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services
LLVM Code Generation, published by Packt
This is the second repo for the book "LLVM Code Generation". This will be linked to the main repo for this title.
Backward compatible ML compute opset inspired by HLO/MHLO
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Large Language Model Text Generation Inference
Implementation of Speculative Sampling as described in "Accelerating Large Language Model Decoding with Speculative Sampling" by Deepmind
Fast and memory-efficient exact attention
SRIOV network device plugin for Kubernetes
A high-throughput and memory-efficient inference and serving engine for LLMs
Tiny, fast, non-dependent and fully loaded printf implementation for embedded systems. Extensive test suite passing.
Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)
QUDA is a library for performing calculations in lattice QCD on GPUs.
A tool and a library for bi-directional translation between SPIR-V and LLVM IR
PyTorch native quantization and sparsity for training and inference
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Demonstration and Template Projects
A course on aligning smol models.
Classical equations and diagrams in machine learning