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academic-kickstart

attentionn

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

autodice

distributed CNN inference at the edge, extend ncnn with CUDA, MPI+OPENMP support.

autodice_examples

multinode examples for AutoDiCE

cavia

Code for "Fast Context Adaptation via Meta-Learning"

chatglm2-6b

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

convex_adversarial

A method for training neural networks that are provably robust to adversarial attacks.

deepthings

A Portable C Library for Distributed CNN Inference on IoT Edge Clusters

fastllm

纯c++的全平台llm加速库，支持python调用，chatglm-6B级模型单卡可达10000+token / s，支持glm, llama, moss基座，手机端流畅运行

how-to-optimize-gemm

row-major matmul optimization

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

learncmake

ltp

[KDD'22] Learned Token Pruning for Transformers

mms

AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)

model_analyzer

Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

nm-sparsity

openc910

OpenXuantie - OpenC910 Core

optimizing-dgemm-on-intel-cpus-with-avx512f

Stepwise optimizations of DGEMM on CPU, reaching performance faster than Intel MKL eventually, even under multithreading.

parrotsky.github.io

pytorch-pretrained-vit

Vision Transformer (ViT) in PyTorch

qc-drug

riskawarelearning_voltageopt_distgrid

starter-hugo-academic

🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.

swin-transformer-cpp

Swin Transformer C++ Implementation

sycl

SYCL for Vitis: Experimental fusion of triSYCL with Intel SYCL oneAPI DPC++ up-streaming effort into Clang/LLVM

sycl-dnn

SYCL-DNN is a library implementing neural network algorithms written using SYCL

the-story-of-heads

This is a repository with the code for the ACL 2019 paper "Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned" and the ACL 2021 paper "Analyzing Source and Target Contributions to NMT Predictions".

torch-pruning

Structural Pruning for Model Acceleration