zhongyu zhang's repositories
2019-Autumn-recruitment-experience
2019届秋招面经集合
3DDFA
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2020)。
awesome-public-datasets
A topic-centric list of HQ open datasets. PR ☛☛☛
CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
ColossalAI
Making large AI models cheaper, faster and more accessible
CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
Distilling-Object-Detectors
Implementations of CVPR 2019 paper Distilling Object Detectors with Fine-grained Feature Imitation
feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
g-darknet
darknet with GIoU
insightface
State-of-the-art 2D and 3D Face Analysis Project
keras-retinanet
Keras implementation of RetinaNet object detection.
LaneDetection_End2End
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
mgd
Matching Guided Distillation (ECCV 2020)
mmclassification
OpenMMLab Image Classification Toolbox and Benchmark
mmdetection
Open MMLab Detection Toolbox with PyTorch
mmrazor
OpenMMLab Model Compression Toolbox and Benchmark.
nebullvm
Plug and play modules to optimize the performances of your AI systems 🚀
netron
Visualizer for deep learning and machine learning models
noisystudent
Code for Noisy Student Training. https://arxiv.org/abs/1911.04252
pytorch-cifar10-resnet18
Based on https://blog.csdn.net/sunqiande88/article/details/80100891, I made some modification.
roboflow-notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
spatial-transformer-GAN
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing :eyeglasses: (CVPR 2018)
TFusion
CVPR2018: Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatio-temporal Patterns
yolo_embedded_acceleration
1. set weights < 0.01 to 0; 2. pruning output feature maps according to BN scales (darknet prune)