liberate-fhe VS TransformerEngine

Compare liberate-fhe vs TransformerEngine and see what are their differences.

liberate-fhe

A Fully Homomorphic Encryption (FHE) library for bridging the gap between theory and practice with a focus on performance and accuracy. (by Desilo)

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)
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liberate-fhe TransformerEngine
1 2
96 1,450
- 6.4%
8.0 9.5
3 months ago 5 days ago
Python Python
BSD 3-clause Clear 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.

liberate-fhe

Posts with mentions or reviews of liberate-fhe. We have used some of these posts to build our list of alternatives and similar projects.

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 liberate-fhe and TransformerEngine you can also consider the following projects:

concrete-numpy - Concrete-Numpy: A library to turn programs into their homomorphic equivalent.

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

openfhe-development - This is the development repository for the OpenFHE library. The current (stable) version is v1.1.4 (released on March 8, 2024).

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

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

ivy - The Unified AI Framework

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

fastaudio - 🔊 Audio and fastai v2

FastFold - Optimizing AlphaFold Training and Inference on GPU Clusters

PyTorch-Guide - PyTorch Guide

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration