nn VS TensorRT

Compare nn vs TensorRT and see what are their differences.

nn

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠 (by lab-ml)

TensorRT

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT (by pytorch)
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nn TensorRT
26 5
47,002 2,319
6.6% 2.8%
7.7 9.6
23 days ago 3 days ago
Jupyter Notebook Python
MIT License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

nn

Posts with mentions or reviews of nn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-09.

TensorRT

Posts with mentions or reviews of TensorRT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-06.

What are some alternatives?

When comparing nn and TensorRT you can also consider the following projects:

GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN

torch2trt - An easy to use PyTorch to TensorRT converter

onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

cutlass - CUDA Templates for Linear Algebra Subroutines

functorch - functorch is JAX-like composable function transforms for PyTorch.

ZoeDepth - Metric depth estimation from a single image

onnx-simplifier - Simplify your onnx model

Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.

DFL-Colab - DeepFaceLab fork which provides IPython Notebook to use DFL with Google Colab

Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf