fuchanghe Goto Github PK

autonovel

Automatically Discovering and Learning New Visual Categories with Ranking Statistics (ICLR 2020)

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

bert

TensorFlow code and pre-trained models for BERT

bigscale2

Framework for clustering, phenotyping, pseudotiming and inferring gene regulatory networks from single cell data

clustering_on_transcript_compatibility_counts

Clustering cells from single cell RNA seq assays

dca

Deep count autoencoder for denoising scRNA-seq data

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

echarts4r.maps

Maps for echarts4r

fuchanghe.github.io

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

graphneuralnetwork

《深入浅出图神经网络：GNN原理解析》配套代码，未完待续......

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hello-world

ims

BioGRID Interaction Management System Platform

ims3

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

kallisto

Near-optimal RNA-Seq quantification

machine-learning-yearning-cn

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

monocle-release

must-read-papers-and-continuous-tracking-on-graph-neural-network-gnn-progress

Papers on Graph neural network(GNN)

mydjg1

netae

Network-enhanced autoencoder (netAE) is a semi-supervised dimensionality reduction method.

numba

NumPy aware dynamic Python compiler using LLVM

opsmanage

自动化运维平台: 代码及应用部署CI/CD、资产管理CMDB、计划任务管理平台、SQL审核|回滚、任务调度、站内WIKI

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

python_for_data_analysis_2nd_chinese_version

《利用Python进行数据分析·第2版》

scrna.seq.course

Analysis of single cell RNA-seq data course