mlc-ai / mlc-pythonLinks
☆35Updated this week
Alternatives and similar repositories for mlc-python
Users that are interested in mlc-python are comparing it to the libraries listed below
Sorting:
- ☆60Updated 2 months ago
- DeeperGEMM: crazy optimized version☆69Updated 2 months ago
- A lightweight design for computation-communication overlap.☆146Updated 3 weeks ago
- Standalone Flash Attention v2 kernel without libtorch dependency☆110Updated 10 months ago
- ☆83Updated 8 months 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
- llama INT4 cuda inference with AWQ☆54Updated 5 months ago
- ☆96Updated 10 months ago
- extensible collectives library in triton☆87Updated 3 months ago
- ☆74Updated last month
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆187Updated this week
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆112Updated last year
- Framework to reduce autotune overhead to zero for well known deployments.☆79Updated last week
- ☆87Updated 3 months ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆92Updated last week
- Automated Parallelization System and Infrastructure for Multiple Ecosystems☆79Updated 7 months ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆184Updated this week
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆183Updated 5 months ago
- ☆49Updated last month
- Debug print operator for cudagraph debugging☆12Updated 11 months ago
- An extention of TVMScript to write simple and high performance GPU kernels with tensorcore.☆50Updated 11 months ago
- FlexFlow Serve: Low-Latency, High-Performance LLM Serving☆48Updated 2 months ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆86Updated 2 months ago
- ☆94Updated 6 months ago
- A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.☆52Updated last week
- ☆84Updated 2 months ago
- GPTQ inference TVM kernel☆40Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆101Updated last month
- ☆64Updated last year
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆216Updated last year