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Top 12 Python Tensor Projects
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einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
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mars
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
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opt_einsum
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.
Yes, this is coming! Myself and others at OctoML and in the TVM community are actively working on multi-gpu support in the compiler and runtime. Here are some of the merged and active PRs on the multi-GPU (multi-device) roadmap:
Support in TVM’s graph IR (Relax) - https://github.com/apache/tvm/pull/15447
Project mention: Einops: Flexible and powerful tensor operations for readable and reliable code | news.ycombinator.com | 2023-12-12
Project mention: Beginner projects/resources to learn about ML Compilers | /r/Compilers | 2023-04-27For tensor layout, this is the standard for all libraries: https://github.com/dmlc/dlpack/blob/main/include/dlpack/dlpack.h
Python Tensor related posts
- Making AMD GPUs competitive for LLM inference
- The Distributed Tensor Algebra Compiler (2022)
- MLC LLM - "MLC LLM is a universal solution that allows any language model to be deployed natively on a diverse set of hardware backends and native applications, plus a productive framework for everyone to further optimize model performance for their own use cases."
- Apache TVM
- Neuromorphic learning, working memory, and metaplasticity in nanowire networks
- [D] The Complete Guide to Spiking Neural Networks
- Making Python fast for free – adventures with mypyc
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A note from our sponsor - InfluxDB
www.influxdata.com | 25 Apr 2024
Index
What are some of the best open-source Tensor projects in Python? This list will help you:
Project | Stars | |
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1 | Pytorch | 77,783 |
2 | tvm | 11,156 |
3 | einops | 7,897 |
4 | cupy | 7,774 |
5 | mars | 2,675 |
6 | dlpack | 849 |
7 | opt_einsum | 802 |
8 | norse | 611 |
9 | rwkvstic | 144 |
10 | multidim_indexing | 7 |
11 | tensortrax | 7 |
12 | tdb | 1 |
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