ythwilam

apmla_material

Material for the Course on Advanced Probabilistic ML and Applications

keras-attention

Visualizing RNNs using the attention mechanism

learnopencv

Learn OpenCV : C++ and Python Examples

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

BERT-keras

Keras implementation of BERT(Bidirectional Encoder Representations from Transformers)

bert_cn_finetune

Bert finetune for CMRC2018, CJRC, DRCD...

deep_learning_object_detection

A paper list of object detection using deep learning.

DeepLearning

深度学习资料

git-flight-rules

Flight rules for git

hub

A library for transfer learning by reusing parts of TensorFlow models.

learnGitBranching

An interactive git visualization to challenge and educate!

Machine-Learning

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

numpy-ml

Machine learning, in numpy

PRML-Solution-Manual

my own Solution Manual of PRML

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

segmentation_models

Segmentation models with pretrained backbones. Keras.

Stage

工程与学术笔记

trax

Trax — your path to advanced deep learning

trfl

TensorFlow Reinforcement Learning