QKeras provides quantization tools for deep learning with TensorFlow Keras.
Open source
24 alternativesAwesome Tensor Compilers
List of awesome compiler projects and papers for tensor computation and deep learning.
About Awesome Tensor Compilers
Awesome Tensor Compilers is a list of compiler projects and papers for tensor computation and deep learning. It collects open source projects such as TVM, MLIR, XLA and Halide, and organizes papers by topics including compiler and IR design, auto-tuning, cost models, CPU, GPU and NPU optimization, quantization, sparsity and verification, with sections for surveys and tutorials.
Key features
- Lists tensor compiler projects like TVM and MLIR
- Organizes papers on compiler and IR design
- Covers auto-tuning and auto-scheduling research
- Includes sections on quantization and sparse computation
- Groups work on CPU, GPU and NPU optimization
- Provides survey papers and tutorials section
Best for: People working on tensor computation and deep learning compilers who need a consolidated list of projects and papers.
Good for
- Covers both projects and papers in one list
- Organizes papers into specific technical topics
- Includes surveys and tutorials alongside research papers
Awesome Tensor Compilers at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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