Pinned Repositories
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
dayelang618's Repositories
dayelang618/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
dayelang618/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, ... 🧠
dayelang618/detrobust
Measuring and Improving Robustness of Object Detection, mmdetection v3.3.0 + ART v17.0
dayelang618/DOTA-DOAI
This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.
dayelang618/Efficient-Deep-Learning
Collection of recent methods on (deep) neural network compression and acceleration.
dayelang618/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
dayelang618/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。
dayelang618/MEFB
A Multi-exposure Image Fusion Benchmark
dayelang618/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
dayelang618/mmdetection
OpenMMLab Detection Toolbox and Benchmark
dayelang618/MQBench
Model Quantization Benchmark
dayelang618/opencv_tutorials
Opencv4.0 with python (English&中文)， and will keep the update ! 👊
dayelang618/Python-100-Days
Python - 100天从新手到大师
dayelang618/SkrSkr
The second place winner for DAC-SDC 2020
dayelang618/SkyNet
dayelang618/Sparsebit
A model compression and acceleration toolbox based on pytorch.
dayelang618/Torch-Pruning
[CVPR-2023] Towards Any Structural Pruning; LLMs / Diffusion / YOLOv8 / CNNs / Transformers