phonism / genesisLinks
Gensis is a lightweight deep learning framework written from scratch in Python, with Triton as its backend for high-performance computing.
☆37Updated last month
Alternatives and similar repositories for genesis
Users that are interested in genesis are comparing it to the libraries listed below
Sorting:
- 注释的nano_vllm仓库,并且完成了MiniCPM4的适配以及注册新模型的功能☆84Updated 2 months ago
- Implement Flash Attention using Cute.☆96Updated 10 months ago
- 🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.☆226Updated 2 months ago
- GPTQ inference TVM kernel☆39Updated last year
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆186Updated 9 months ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆124Updated 5 months ago
- DLSlime: Flexible & Efficient Heterogeneous Transfer Toolkit☆73Updated this week
- Codes & examples for "CUDA - From Correctness to Performance"☆115Updated last year
- 使用 CUDA C++ 实现的 llama 模型推理框架☆62Updated 11 months ago
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆109Updated 3 months ago
- A PyTorch-like deep learning framework. Just for fun.☆156Updated 2 years ago
- ☆39Updated last week
- ☆148Updated 3 months ago
- ☆120Updated 2 months ago
- Triton Documentation in Chinese Simplified / Triton 中文文档☆87Updated 6 months ago
- ☆176Updated 2 years ago
- 分层解耦的深度学习推理引擎☆76Updated 8 months ago
- ☆261Updated 2 weeks ago
- Multi-Level Triton Runner supporting Python, IR, PTX, and cubin.☆75Updated last week
- A practical way of learning Swizzle☆30Updated 8 months ago
- NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer☆139Updated last month
- Implement some method of LLM KV Cache Sparsity☆40Updated last year
- ☆107Updated 5 months ago
- [DAC'25] Official implement of "HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference"☆81Updated 4 months ago
- ☆74Updated 11 months ago
- Code release for book "Efficient Training in PyTorch"☆105Updated 6 months ago
- Implement custom operators in PyTorch with cuda/c++☆72Updated 2 years ago
- ☆14Updated 7 months ago
- Tutorials for writing high-performance GPU operators in AI frameworks.☆132Updated 2 years ago
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆100Updated 4 months ago