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aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

detrobust

Measuring and Improving Robustness of Object Detection, mmdetection v3.3.0 + ART v17.0

dota-doai

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

efficient-deep-learning

Collection of recent methods on (deep) neural network compression and acceleration.

fpga

帮助大家进行FPGA的入门，分享FPGA相关的优秀文章，优秀项目

imageprocessing100wen

「画像処理100本ノック」中文版本！为图像处理初学者设计的 100 个问题。

mefb

A Multi-exposure Image Fusion Benchmark

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regula

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mqbench

Model Quantization Benchmark

opencv_tutorials

Opencv4.0 with python (English&中文)， and will keep the update ! 👊

python-100-days

Python - 100天从新手到大师

skrskr

The second place winner for DAC-SDC 2020

skynet

sparsebit

A model compression and acceleration toolbox based on pytorch.

torch-pruning

[CVPR-2023] Towards Any Structural Pruning; LLMs / Diffusion / YOLOv8 / CNNs / Transformers