Pytorch VS gpt-neox

Compare Pytorch vs gpt-neox and see what are their differences.

Pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration (by pytorch)

gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library. (by EleutherAI)
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Pytorch gpt-neox
333 52
76,925 6,496
2.6% 1.7%
10.0 9.0
3 days ago about 23 hours ago
Python Python
BSD 1-Clause 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.

Pytorch

Posts with mentions or reviews of Pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-22.

gpt-neox

Posts with mentions or reviews of gpt-neox. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-26.

What are some alternatives?

When comparing Pytorch and gpt-neox you can also consider the following projects:

fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Flux.jl - Relax! Flux is the ML library that doesn't make you tensor

mediapipe - Cross-platform, customizable ML solutions for live and streaming media.

gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

flax - Flax is a neural network library for JAX that is designed for flexibility.

tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java

tensorflow - An Open Source Machine Learning Framework for Everyone

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]