OscarSavolainen / Quantization-TutorialsLinks
A bunch of coding tutorials for my Youtube videos on Neural Network Quantization.
☆24Updated last year
Alternatives and similar repositories for Quantization-Tutorials
Users that are interested in Quantization-Tutorials are comparing it to the libraries listed below
Sorting:
- TensorRT encapsulation, learn, rewrite, practice.☆29Updated 3 years ago
- 使用 CUDA C++ 实现的 llama 模型推理框架☆62Updated last year
- b站上的课程☆77Updated 2 years ago
- hands on model tuning with TVM and profile it on a Mac M1, x86 CPU, and GTX-1080 GPU.☆50Updated 2 years ago
- code reading for tvm☆76Updated 3 years ago
- A light llama-like llm inference framework based on the triton kernel.☆161Updated last month
- 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!☆33Updated last year
- Some common CUDA kernel implementations (Not the fastest).☆28Updated this week
- 使用 cutlass 实现 flash-attention 精简版,具有教学意义☆50Updated last year
- ☆30Updated 11 months ago
- base quantization methods including: QAT, PTQ, per_channel, per_tensor, dorefa, lsq, adaround, omse, Histogram, bias_correction.etc☆50Updated 3 years ago
- 一大波学习onnx的案例☆23Updated last year
- ☆143Updated last year
- Quick and Self-Contained TensorRT Custom Plugin Implementation and Integration☆71Updated 5 months ago
- ☆19Updated 3 months ago
- ☆25Updated 3 months ago
- Implement custom operators in PyTorch with cuda/c++☆73Updated 2 years ago
- ☆37Updated last year
- ☆21Updated 4 years ago
- ☆39Updated 6 months ago
- ☆60Updated 11 months ago
- ☆26Updated 2 years ago
- 分层解耦的深度学习推理引擎☆76Updated 8 months ago
- TensorRT-in-Action 是一个 GitHub 代码库,提供了使用 TensorRT 的代码示例,并有对应 Jupyter Notebook。☆15Updated 2 years ago
- 记录量化LLM中的总结。☆38Updated last month
- From Minimal GEMM to Everything☆73Updated this week
- ☆19Updated last year
- ☆152Updated 10 months ago
- A tutorial for CUDA&PyTorch☆161Updated 9 months ago
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆112Updated 4 months ago