Stars
CLARA: Confidence of Labels and Raters
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Learning to rank with neuralnet - RankNet and ListNet
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
Curated coding interview preparation materials for busy software engineers
🎓 Learning Ruby on Rails through building the Instagram Application.
Basic Movie Recommendation Web Application using user-item collaborative filtering.
TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).
Implementation of Sequential Attend, Infer, Repeat (SQAIR)
Deep Learning Specialization by Andrew Ng on Coursera.
Deformable convolution net on Tensorflow
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
Deformable Convolution in TensorFlow / Keras
A repo for data science related questions and answers
Minimal and clean examples of machine learning algorithms implementations
A Simple and Versatile Framework for Object Detection and Instance Recognition
ImageNet classifier with state-of-the-art adversarial robustness
Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch
A collection of design patterns/idioms in Python
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