Pinned Repositories
3DUnetCNN
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
A-Convolutional-Neural-Network-Cascade-for-Face-Detection
abu
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
alpa
Training and serving large-scale neural networks
ANTs
Advanced Normalization Tools (ANTs)
aparapi
Automatically exported from code.google.com/p/aparapi
Attention-Augmented-Conv2d
Implementing Attention Augmented Convolutional Networks using Pytorch
Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
AWMF-CNN
Codes for our paper " Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology".
batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
yaohuaxin's Repositories
yaohuaxin/alpa
Training and serving large-scale neural networks
yaohuaxin/ANTs
Advanced Normalization Tools (ANTs)
yaohuaxin/Attention-Augmented-Conv2d
Implementing Attention Augmented Convolutional Networks using Pytorch
yaohuaxin/BERT-March_19-NGC
yaohuaxin/cub
CUB is a flexible library of cooperative threadblock primitives and other utilities for CUDA kernel programming.
yaohuaxin/cutlass
CUDA Templates for Linear Algebra Subroutines
yaohuaxin/deepops
Tools for building GPU clusters
yaohuaxin/firefox-bookmarks
yaohuaxin/Frozen_Graph_TensorFlow
Save, Load Frozen Graph and Run Inference From Frozen Graph in TensorFlow 1.x and 2.x.
yaohuaxin/GNMT-0845aa-NGC
yaohuaxin/GPUJPEG
JPEG encoder and decoder library and console application for NVIDIA GPUs from CESNET and SITOLA of Faculty of Informatics at Masaryk University.
yaohuaxin/guetzli-cuda-opencl
Perceptual JPEG encoder, optimized with CUDA&OpenCL, full JPEG format support.
yaohuaxin/Halide
a language for fast, portable data-parallel computation
yaohuaxin/horovod
yaohuaxin/IntelAI-models
Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors
yaohuaxin/libjpeg-turbo
Main libjpeg-turbo repository
yaohuaxin/LiteOS
code and manual
yaohuaxin/lucid
A collection of infrastructure and tools for research in neural network interpretability.
yaohuaxin/MaskRCNN-0845aa-NGC
yaohuaxin/Megatron-LM
Ongoing research training transformer language models at scale, including: BERT & GPT-2
yaohuaxin/mesh
Mesh TensorFlow: Model Parallelism Made Easier
yaohuaxin/mmdetection
OpenMMLab Detection Toolbox and Benchmark
yaohuaxin/nccl-fastsocket
NCCL Fast Socket is a transport layer plugin to improve NCCL collective communication performance on Google Cloud.
yaohuaxin/pt-yhx
Tensors and Dynamic neural networks in Python with strong GPU acceleration
yaohuaxin/pytorch-large-model-support
Large Model Support in PyTorch
yaohuaxin/ResNet50V1.5_TF-Sep_10-NGC
yaohuaxin/SGEMM_CUDA
Fast CUDA matrix multiplication from scratch
yaohuaxin/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
yaohuaxin/the-twitter-algorithm
Source code for Twitter's Recommendation Algorithm
yaohuaxin/wikiextractor
A tool for extracting plain text from Wikipedia dumps