Physicsnemo
NVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
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3KGitHub
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Results · “nvidia-gpu”
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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…
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5.7KGitHub
TransformerEngine
NVIDIA
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, t…
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3.4KGitHub
12.2KGitHub
TensorRT
pytorch
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
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3KGitHub
Pytorch
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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100.8KGitHub
Jetson Containers
dusty-nv
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
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4.7KGitHub
2.5KGitHub
Lupine
lupinemachines
LUPINE is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.
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2.3KGitHub
1.8KGitHub
Catboost
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…
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9KGitHub
Jetson Inference
dusty-nv
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
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8.9KGitHub
Diffrax
patrick-kidger
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
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2.1KGitHub
5KGitHub
Higgsfield
higgsfield-ai
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
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3.8KGitHub
VisionMamba
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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495GitHub
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