CourageK's repositories
ASL
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper
augmix
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
CRNN_Chinese_Characters_Rec
(CRNN) Chinese Characters Recognition.
cs230-code-examples
Code examples in pyTorch and Tensorflow for CS230
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.
DB
A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
EffcientNetV2
EfficientNetV2 implementation using PyTorch
efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
image_triplet_loss
Image similarity using Triplet Loss
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
lanenet-lane-detection
Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
milvus
An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy
ML
machine learning study
multi-label-soft-f1
Train a multi-label image classifier with macro soft-F1 loss in TensorFlow 2.0
python-mode
Vim python-mode. PyLint, Rope, Pydoc, breakpoints from box.
ranking
Learning to Rank in TensorFlow
SimpleHTR
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
tf_retrieval_baseline
A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
Unsupervised-Classification
SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.
vearch
A distributed system for embedding-based retrieval
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite