Pinned Repositories
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
Conditional-GAN
realization of cDCGAN ,acGAN ,pix2pix and gaugan by tensorflow
perp-arbitrageur
An arbitrage bot that executes automated trading strategies between Perpetual Protocol and FTX
TF2-WGAN
Variance-component-analysis
Provide some methods(EM, PXEM, MoM) to estimate variance components of the linear model. Explore the correlation between different phenotypes.
CongZhengithub's Repositories
CongZhengithub/Conditional-GAN
realization of cDCGAN ,acGAN ,pix2pix and gaugan by tensorflow
CongZhengithub/aioquant
Asynchronous event I/O driven quantitative trading framework.
CongZhengithub/Variance-component-analysis
Provide some methods(EM, PXEM, MoM) to estimate variance components of the linear model. Explore the correlation between different phenotypes.
CongZhengithub/AdaBoost-exploration
Summary and discussion of: “Evidence Contrary to the Statistical View of Boosting"
CongZhengithub/perp-arbitrageur
An arbitrage bot that executes automated trading strategies between Perpetual Protocol and FTX
CongZhengithub/TF2-WGAN
CongZhengithub/awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
CongZhengithub/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
CongZhengithub/BayesianNeuralNetwork
a repo sharing Bayesian Neural Network recent papers
CongZhengithub/bdl-benchmarks
Bayesian Deep Learning Benchmarks
CongZhengithub/CycleGAN-tensorflow
Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf
CongZhengithub/DANet
Dual Attention Network for Scene Segmentation (CVPR2019)
CongZhengithub/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".
CongZhengithub/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.
CongZhengithub/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。
CongZhengithub/EliteQuant
A list of online resources for quantitative modeling, trading, portfolio management
CongZhengithub/facenet
Face recognition using Tensorflow
CongZhengithub/Faster-RCNN_TF
Faster-RCNN in Tensorflow
CongZhengithub/KL-Loss
Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)
CongZhengithub/learn_rust
CongZhengithub/Market_MicroStructure_Models
CongZhengithub/papers
Summaries of papers on machine learning, computer vision, autonomous robots etc.
CongZhengithub/PRML
PRML algorithms implemented in Python
CongZhengithub/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
CongZhengithub/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.
CongZhengithub/README
README文件语法解读，即Github Flavored Markdown语法介绍
CongZhengithub/SPADE-Tensorflow
Simple Tensorflow implementation of "Semantic Image Synthesis with Spatially-Adaptive Normalization" a.k.a. GauGAN, SPADE (CVPR 2019 Oral)
CongZhengithub/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
CongZhengithub/UQ_BNN
Uncertainty quantification using Bayesian neural networks in classification
CongZhengithub/VQ-VAE_withPixelCNNprior
Implementation of Vector Quantised VAE (VQ-VAE) with PixelCNN prior in Tensorflow.