Alternatives and similar repositories for Quantization-Tutorials

Users that are interested in Quantization-Tutorials are comparing it to the libraries listed below

• wangzyon / trt_learn
  TensorRT encapsulation, learn, rewrite, practice.
  ☆29Updated 3 years ago
• zjhellofss / KuiperCourse
  b站上的课程
  ☆82Updated 2 years ago
• caiwanxianhust / FasterLLaMA
  使用 CUDA C++ 实现的 llama 模型推理框架
  ☆64Updated last year
• HuPengsheet / EasyNN
  EasyNN是一个面向教学而开发的神经网络推理框架，旨在让大家0基础也能自主完成推理框架编写！
  ☆37Updated last year
• harleyszhang / lite_llama
  A light llama-like llm inference framework based on the triton kernel.
  ☆171Updated last month
• weishengying / tiny-flash-attention
  使用 cutlass 实现 flash-attention 精简版，具有教学意义
  ☆54Updated last year
• KarhouTam / cuda-kernels
  Some common CUDA kernel implementations (Not the fastest).
  ☆29Updated 2 months ago
• leimao / TensorRT-Custom-Plugin-Example
  Quick and Self-Contained TensorRT Custom Plugin Implementation and Integration
  ☆79Updated 8 months ago
• Phoenix8215 / learn-ONNX-from-scratch
  一大波学习onnx的案例
  ☆25Updated last year
• Tlntin / trt2023
  ☆26Updated 2 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
• JieRen98 / SGEMM-SASS-Annotation
  ☆21Updated 4 years ago
• InfiniTensor / RefactorGraph
  分层解耦的深度学习推理引擎
  ☆79Updated 11 months ago
• Archermmt / tvm_walk_through
  code reading for tvm
  ☆76Updated 4 years ago
• raymond1123 / hgemm
  ☆30Updated last year
• AyakaGEMM / Hands-on-GEMM
  ☆145Updated last year
• harleyszhang / llm_counts
  llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
  ☆115Updated 6 months ago
• yifanlu0227 / LLaMA2-7B-on-laptop
  Lab 5 project of MIT-6.5940, deploying LLaMA2-7B-chat on one's laptop with TinyChatEngine.
  ☆18Updated 2 years ago
• HeKun-NVIDIA / AI-Blog
  Collection of blogs on AI development
  ☆23Updated last year
• mit-han-lab / parallel-computing-tutorial
  ☆177Updated 2 years ago
• shouxieai / tensorRT_quantization
  该代码与B站上的视频 https://www.bilibili.com/video/BV18L41197Uz/?spm_id_from=333.788&vd_source=eefa4b6e337f16d87d87c2c357db8ca7 相关联。
  ☆70Updated 2 years ago
• weishengying / cute_gemm
  ☆21Updated last year
• Ranking666 / Base-quantization
  base quantization methods including: QAT, PTQ, per_channel, per_tensor, dorefa, lsq, adaround, omse, Histogram, bias_correction.etc
  ☆51Updated 3 years ago
• HuangShiqing / LearnAndTry
  ☆19Updated last month
• YuxueYang1204 / CudaDemo
  Implement custom operators in PyTorch with cuda/c++
  ☆76Updated 3 years ago
• Syencil / Programming_Massively_Parallel_Processors
  CUDA 6大并行计算模式 代码与笔记
  ☆61Updated 5 years 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.
  ☆250Updated this week
• jundaf2 / CUDA-INT8-GEMM
  CUDA 8-bit Tensor Core Matrix Multiplication based on m16n16k16 WMMA API
  ☆35Updated 2 years ago
• CalvinXKY / BasicCUDA
  A tutorial for CUDA&PyTorch
  ☆227Updated last week
• zjhellofss / triton_course
  ☆40Updated 8 months ago