Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
A neural network that transforms a design mock-up into a static website.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Deep Learning GPU Training System
🌎 machine learning tutorials (mainly in Python3)
🤖 Machine Learning Summer School Guide
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
A curated list of awesome papers on dataset distillation and related applications.
An awesome face technology repository.
A collaboratively written review paper on deep learning, genomics, and precision medicine
Notes for Fastai Deep Learning Course
A-Paper-A-Week
A curated list of papers dedicated to neural text (semantic) matching.
Visualization toolkit for neural networks in PyTorch! Demo -->
Examples and libraries for "Natural Language Processing in Action" book
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning