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adaboost-exploration

Summary and discussion of: “Evidence Contrary to the Statistical View of Boosting"

aioquant

Asynchronous event I/O driven quantitative trading framework.

arbitrary_style_transfer

Fast Neural Style Transfer with Arbitrary Style using AdaIN Layer - Based on Huang et al. "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization"

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more

bayesianneuralnetwork

a repo sharing Bayesian Neural Network recent papers

bdl-benchmarks

Bayesian Deep Learning Benchmarks

conditional-gan

realization of cDCGAN ,acGAN ,pix2pix and gaugan by tensorflow

cyclegan-tensorflow

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

deep-alignment-network-a-convolutional-neural-network-for-robust-face-alignment

This is a Tensorflow implementations of paper "Deep Alignment Network: A convolutional neural network for robust face alignment".

deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

deepnude-an-image-to-image-technology

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, DCGAN, and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用图像生成的理论与实践研究。

elitequant

A list of online resources for quantitative modeling, trading, portfolio management

facenet

Face recognition using Tensorflow

faster-rcnn_tf

Faster-RCNN in Tensorflow

jdda-master

Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation（AAAI-2019）

kl-loss

Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

learn_rust

market_microstructure_models

papers

Summaries of papers on machine learning, computer vision, autonomous robots etc.

perp-arbitrageur

An arbitrage bot that executes automated trading strategies between Perpetual Protocol and FTX

prml

PRML algorithms implemented in Python

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-mnist-celeba-cgan-cdcgan

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

readme

README文件语法解读，即Github Flavored Markdown语法介绍

spade-tensorflow

Simple Tensorflow implementation of "Semantic Image Synthesis with Spatially-Adaptive Normalization" a.k.a. GauGAN, SPADE (CVPR 2019 Oral)

style2paints

sketch + style = paints :art:

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.