OscarSavolainen / Quantization-TutorialsLinks
A bunch of coding tutorials for my Youtube videos on Neural Network Quantization.
☆25Updated 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
- A light llama-like llm inference framework based on the triton kernel.☆166Updated 2 months ago
- 使用 CUDA C++ 实现的 llama 模型推理框架☆62Updated last year
- b站上的课程☆79Updated 2 years ago
- Some common CUDA kernel implementations (Not the fastest).☆28Updated 3 weeks ago
- 使用 cutlass 实现 flash-attention 精简版,具有教学意义☆51Updated last year
- ☆39Updated 6 months ago
- base quantization methods including: QAT, PTQ, per_channel, per_tensor, dorefa, lsq, adaround, omse, Histogram, bias_correction.etc☆51Updated 3 years ago
- Quick and Self-Contained TensorRT Custom Plugin Implementation and Integration☆73Updated 6 months ago
- 一大波学习onnx的案例☆23Updated last year
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆113Updated 4 months ago
- 分层解耦的深度学习推理引擎☆76Updated 9 months ago
- 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
- ☆30Updated last year
- ☆21Updated 4 years ago
- 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!☆34Updated last year
- NVIDIA DLA-SW, the recipes and tools for running deep learning workloads on NVIDIA DLA cores for inference applications.☆220Updated last year
- CUDA 8-bit Tensor Core Matrix Multiplication based on m16n16k16 WMMA API☆33Updated 2 years ago
- ☆176Updated 2 years ago
- This is a repository to practice multi-thread programming in C++☆26Updated last year
- ☆26Updated 2 years ago
- A Toolkit to Help Optimize Large Onnx Model☆162Updated last month
- A CUDA tutorial to make people learn CUDA program from 0☆260Updated last year
- ☆144Updated last year
- ☆60Updated last year
- hands on model tuning with TVM and profile it on a Mac M1, x86 CPU, and GTX-1080 GPU.☆50Updated 2 years ago
- Awesome code, projects, books, etc. related to CUDA☆26Updated 3 months ago
- code reading for tvm☆76Updated 3 years ago
- A tutorial for CUDA&PyTorch☆170Updated 10 months ago
- This project is about convolution operator optimization on GPU, include GEMM based (Implicit GEMM) convolution.☆38Updated 2 months ago