DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. (by deepspeedai)
Pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration (by pytorch)
| DeepSpeed | Pytorch | |
|---|---|---|
| 53 | 396 | |
| 39,922 | 92,684 | |
| 1.0% | 0.9% | |
| 9.6 | 10.0 | |
| 1 day ago | 7 days ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
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.
DeepSpeed
Posts with mentions or reviews of DeepSpeed.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-06-09.
- All Data and AI Weekly #193 - June 9, 2025
- DeepSpeed-Domino: Communication-Free LLM Training Engine
-
Can we discuss MLOps, Deployment, Optimizations, and Speed?
DeepSpeed can handle parallelism concerns, and even offload data/model to RAM, or even NVMe (!?) . I'm surprised I don't see this project used more.
- [P][D] A100 is much slower than expected at low batch size for text generation
- DeepSpeed-FastGen: High-Throughput for LLMs via MII and DeepSpeed-Inference
- DeepSpeed-FastGen: High-Throughput Text Generation for LLMs
- Why async gradient update doesn't get popular in LLM community?
- DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models (r/MachineLearning)
- [P] DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
- A comprehensive guide to running Llama 2 locally
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 2025-08-06.
-
Project of the Week: PyTorch
Check out the PyTorch project: GitHub
-
Your 2025 Roadmap to Becoming an AI Engineer for Free for Vue.js Developers
Machine learning (ML) teaches computers to learn from data, like predicting user clicks. Start with simple models like regression (predicting numbers) and clustering (grouping data). Deep learning uses neural networks for complex tasks, like image recognition in a Vue.js gallery. Tools like Scikit-learn and PyTorch make it easier.
-
Pytorch quickstart ☄️: Some of my Pytorch notes
Explicit CUDA/GPU version: on https://pytorch.org, select your OS and desired CUDA version, and then modify the generated command to include your torch version
-
Beware of Fast-Math
This problem is happening even on Apple MPS with PyTorch in deep learning, where fast math is used by default in many operations, leading to a garbage output. I hit it recently while training an autoregressive image generation model. Here is a discussion by folks that hit it as well:
https://github.com/pytorch/pytorch/issues/84936
-
I Don't Like NumPy
I tried to do something similar with 'first-class' dimension objects in PyTorch https://github.com/pytorch/pytorch/blob/main/functorch/dim/R... .
-
Grasping Computer Vision Fundamentals Using Python
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but contextualise them with human-like reasoning. Start building, and you’ll shape how tomorrow’s machines perceive reality.
-
Will Supercapacitors Come to AI's Rescue?
Paraphrasing this[1]?
[1] https://github.com/pytorch/pytorch/pull/132936/files#diff-98...
-
Top Programming Languages for AI Development in 2025
With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond.
-
How to Get Started with Scikit-Learn: A Beginner-Friendly Guide to Machine Learning in Python
PyTorch
-
Fine-tuning LLMs locally: A step-by-step guide
Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:
What are some alternatives?
When comparing DeepSpeed and Pytorch you can also consider the following projects:
unsloth - Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, Qwen3, Llama 4, DeepSeek-R1, Gemma 3, TTS 2x faster with 70% less VRAM.
ollama - Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
Megatron-LM - Ongoing research training transformer models at scale
tensorflow - An Open Source Machine Learning Framework for Everyone
ColossalAI - Making large AI models cheaper, faster and more accessible
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