chainer VS TransformerEngine

Compare chainer vs TransformerEngine and see what are their differences.

chainer

A flexible framework of neural networks for deep learning (by chainer)
Deep Learning Python neural-networks Machine Learning GPU Cuda cudnn Numpy cupy Chainer neural-network
Source Code
chainer.org
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TransformerEngine

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference. (by NVIDIA)
Cuda Deep Learning GPU Machine Learning Python Pytorch fp8 Jax
Source Code
docs.nvidia.com
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chainer TransformerEngine
2 2
5,861 1,411
0.3% 12.0%
0.0 9.5
8 months ago 2 days ago
Python Python
MIT License Apache License 2.0
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.

chainer

Posts with mentions or reviews of chainer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-19.

TransformerEngine

Posts with mentions or reviews of TransformerEngine. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-18.

What are some alternatives?

When comparing chainer and TransformerEngine you can also consider the following projects:

chaiNNer - A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.

Whisper - High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model

leptonai - A Pythonic framework to simplify AI service building

autocvd - Tool to automatically set CUDA_VISIBLE_DEVICES based on GPU utilization. Usable from command line and code.

tmu - Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.

warp-drive - Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)

XNOR-popcount-GEMM-PyTorch-CPU-CUDA - A PyTorch implemenation of real XNOR-popcount (1-bit op) GEMM Linear PyTorch extension support both CPU and CUDA

ivy - The Unified AI Framework

SmallPebble - Minimal deep learning library written from scratch in Python, using NumPy/CuPy.

nanoGPT - The simplest, fastest repository for training/finetuning medium-sized GPTs.

fastaudio - 🔊 Audio and fastai v2

chainer vs chaiNNer TransformerEngine vs Whisper chainer vs leptonai TransformerEngine vs autocvd chainer vs tmu TransformerEngine vs warp-drive chainer vs XNOR-popcount-GEMM-PyTorch-CPU-CUDA TransformerEngine vs ivy chainer vs SmallPebble TransformerEngine vs nanoGPT chainer vs warp-drive TransformerEngine vs fastaudio