DALI
NVIDIA
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference appl…
OPENAGENTSKILL / DIRECTORY
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Results: 14
NVIDIA
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference appl…
aws-samples
Machine Learning University: Accelerated Natural Language Processing Class
tensorflow
A WebGL accelerated JavaScript library for training and deploying ML models.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
lupinemachines
LUPINE is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…
vitoplantamura
Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and…
patrick-kidger
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
higgsfield-ai
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
kyegomez
Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT a…
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