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SLEEP-CO's starred repositories

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

Language:PythonApache-2.0613400

trellisnet

[ICLR'19] Trellis Networks for Sequence Modeling

Language:PythonMIT47300

LeetCode-Go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

MIT100

leetcode

离线版本的电子书《LeetCode Cookbook》PDF https://github.com/halfrost/LeetCode-Go/releases/

Language:GoMIT38400

inside

INSIDE: Steering Spatial Attention with Non-Imaging Information in CNNs

Apache-2.0100

ResNeSt

ResNeSt: Split-Attention Networks

Language:PythonApache-2.0321300

Awesome-Temporal-Action-Localization

A curated list of temporal action localization/detection and related area (e.g. temporal action proposal) resources.

56600

Grid-GCN

Grid-GCN for Fast and Scalable Point Cloud Learning

Language:Python18200

3DUnetCNN

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

Language:PythonMIT4400

PocketFlow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

Language:PythonNOASSERTION278800

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、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

Language:PythonMIT220800