Alternatives and similar repositories for FlexNN

Users that are interested in FlexNN are comparing it to the libraries listed below

• Kyrie-Zhao / awesome-real-time-AI
  This is a list of awesome edgeAI inference related papers.
  ☆98Updated 2 years ago
• YuxueYang1204 / CudaDemo
  Implement custom operators in PyTorch with cuda/c++
  ☆76Updated 3 years ago
• li199603 / sgemm_with_cuda
  SGEMM optimization with cuda step by step
  ☆21Updated last year
• harleyszhang / llm_counts
  llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
  ☆114Updated 6 months ago
• csu-eis / CoDL
  ☆78Updated 2 years ago
• InfiniTensor / RefactorGraph
  分层解耦的深度学习推理引擎
  ☆79Updated 11 months ago
• openmlsys / openmlsys-cuda
  Tutorials for writing high-performance GPU operators in AI frameworks.
  ☆135Updated 2 years ago
• xudoong / EdgeVisionTransformer
  To deploy Transformer models in CV to mobile devices.
  ☆18Updated 4 years ago
• JackonYang / hands-on-tvm
  hands on model tuning with TVM and profile it on a Mac M1, x86 CPU, and GTX-1080 GPU.
  ☆49Updated 2 years ago
• dianhsu / swin-transformer-cpp
  Swin Transformer C++ Implementation
  ☆65Updated 4 years ago
• MegEngine / examples
  A set of examples around MegEngine
  ☆31Updated 2 years ago
• JieRen98 / SGEMM-SASS-Annotation
  ☆21Updated 4 years ago
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆148Updated 8 months ago
• xlite-dev / ffpa-attn
  🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.
  ☆248Updated last week
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆236Updated 3 years ago
• dsl-learn / triton-tutorial
  Getting Started with Triton: A Tutorial for Python Beginners
  ☆33Updated 3 months ago
• BBuf / how-to-optimize-gemm
  ☆98Updated 4 years ago
• KuangjuX / cu-x
  🎉My Collections of CUDA Kernels~
  ☆11Updated last year
• LeiWang1999 / tvm_gpu_gemm
  play gemm with tvm
  ☆92Updated 2 years ago
• uiuc-arc / felix
  Optimize tensor program fast with Felix, a gradient descent autotuner.
  ☆30Updated last year
• 1hunters / LIMPQ
  Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"
  ☆61Updated 2 years ago
• xxyux / SpInfer
  SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs
  ☆61Updated 10 months ago
• caiwanxianhust / FasterLLaMA
  使用 CUDA C++ 实现的 llama 模型推理框架
  ☆64Updated last year
• Ascend / triton-ascend
  Triton adapter for Ascend. Mirror of https://gitee.com/ascend/triton-ascend
  ☆105Updated this week
• TiledTensor / TiledCUDA
  We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …
  ☆192Updated last year
• GATECH-EIC / Edge-LLM
  [DAC 2024] EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive La…
  ☆78Updated last year
• jeho-lee / Awesome-On-Device-AI-Systems
  ☆116Updated this week
• Roxbili / TorchQuanter
  Quantize pytorch model, support post-training quantization and quantization aware training methods
  ☆14Updated 2 years ago
• PKU-SEC-Lab / HybriMoE
  [DAC'25] Official implement of "HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference"
  ☆99Updated last month
• infinigence / SpecEE
  Repo for SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting (ISCA25)
  ☆70Updated 9 months ago