onnx / digestaiLinks
Digest AI is a powerful model analysis tool that extracts insights from your models.
☆28Updated 3 weeks ago
Alternatives and similar repositories for digestai
Users that are interested in digestai are comparing it to the libraries listed below
Sorting:
- TritonParse is a tool designed to help developers analyze and debug Triton kernels by visualizing the compilation process and source code…☆93Updated last week
- No-code CLI designed for accelerating ONNX workflows☆198Updated 2 weeks ago
- Ahead of Time (AOT) Triton Math Library☆66Updated last week
- Efficient in-memory representation for ONNX, in Python☆19Updated this week
- Machine Learning Agility (MLAgility) benchmark and benchmarking tools☆39Updated last month
- ☆35Updated last month
- TORCH_LOGS parser for PT2☆43Updated 3 weeks ago
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆166Updated this week
- Notes and artifacts from the ONNX steering committee☆26Updated 2 weeks ago
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆90Updated 2 weeks ago
- AI Tensor Engine for ROCm☆208Updated this week
- An experimental CPU backend for Triton (https//github.com/openai/triton)☆43Updated 3 months ago
- High-Performance SGEMM on CUDA devices☆95Updated 5 months ago
- Intel® Extension for DeepSpeed* is an extension to DeepSpeed that brings feature support with SYCL kernels on Intel GPU(XPU) device. Note…☆61Updated last week
- MLIR-based partitioning system☆97Updated this week
- Fast low-bit matmul kernels in Triton☆322Updated last week
- A collection of reproducible inference engine benchmarks☆31Updated 2 months ago
- Documentation for vLLM Dev Channel releases☆9Updated 6 months ago
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆19Updated this week
- A fork of tvm/unity☆14Updated last year
- Explore training for quantized models☆18Updated this week
- oneCCL Bindings for Pytorch*☆97Updated 2 months ago
- Evaluating Large Language Models for CUDA Code Generation ComputeEval is a framework designed to generate and evaluate CUDA code from Lar…☆50Updated last week
- An IR for efficiently simulating distributed ML computation.☆28Updated last year
- A safetensors extension to efficiently store sparse quantized tensors on disk☆129Updated this week
- Efficient implementation of DeepSeek Ops (Blockwise FP8 GEMM, MoE, and MLA) for AMD Instinct MI300X☆50Updated last week
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆109Updated 11 months ago
- Model compression for ONNX☆96Updated 7 months ago
- extensible collectives library in triton☆86Updated 2 months ago
- Unified compiler/runtime for interfacing with PyTorch Dynamo.☆100Updated last month