Pinned Repositories
448Project
High Frequency Trading
Attention-Gated-Networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
awesome-deep-vision
A curated list of deep learning resources for computer vision
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
caffe
Caffe: a fast open framework for deep learning.
keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
qzhao's Repositories
qzhao/448Project
High Frequency Trading
qzhao/Attention-Gated-Networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
qzhao/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
qzhao/caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework.
qzhao/cnn_finetune
Fine-tune CNN in Keras
qzhao/ctc-executioner
Master Thesis: Limit order placement with Reinforcement Learning
qzhao/Deep-Survey-Text-Classification
The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.
qzhao/deepar
Tensorflow implementation of Amazon DeepAR
qzhao/DeepLearningSandbox
Blog related code for
qzhao/DeepRL-Agents
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
qzhao/docker-cheat-sheet
Docker Cheat Sheet
qzhao/focal-loss-keras
Binary and Categorical Focal loss implementation in Keras.
qzhao/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
qzhao/handong1587.github.io
qzhao/Integrated-Gradients
Attributing predictions made by the Inception network using the Integrated Gradients method
qzhao/kaggle-carvana-2017
80 TFlops
qzhao/Keras-GAN
Keras implementations of Generative Adversarial Networks.
qzhao/Machine-Learning-for-Algorithmic-Trading-Second-Edition
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
qzhao/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
qzhao/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
qzhao/ML_Finance_Codes
Machine Learning in Finance: From Theory to Practice Book
qzhao/Practical_RL
A course in reinforcement learning in the wild
qzhao/progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
qzhao/raster-vision
deep learning for aerial/satellite imagery
qzhao/rl_abstraction
Code for experimenting with state and action abstractions in reinforcement learning.
qzhao/scikit-survival
Survival analysis built on top of scikit-learn
qzhao/shap
A unified approach to explain the output of any machine learning model.
qzhao/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
qzhao/top-programming-fonts
qzhao/ultrasound-nerve-segmentation
Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras