There are 73 repositories under classification topic.
We write your reusable computer vision tools. 💜
deep learning for image processing including classification and object-detection etc.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
Build your neural network easy and fast, 莫烦Python中文教学
all kinds of text classification models and more with deep learning
Postgres with GPUs for ML/AI apps.
Code for Tensorflow Machine Learning Cookbook
All-in-One Development Tool based on PaddlePaddle
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
An easy to use PyTorch to TensorRT converter
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
CNN-RNN中文文本分类,基于TensorFlow
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Papers and Datasets about Point Cloud.
Deep neural network to extract intelligent information from invoice documents.
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
An open source library and framework for deep learning on satellite and aerial imagery.
Implementation of EfficientNet model. Keras and TensorFlow Keras.
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.