MIAO Jishuai's repositories
download_10Xdata
This Tampermonkey script is specifically designed for the 10x Genomics website, aiming to improve the data download process for researchers.
JishuaiMIAO
Personal Website
Nvidia_Workshop_TA
Fundamentals of Accelerated Data Science course materials
AAE-PyTorch
Adversarial autoencoder (basic/semi-supervised/supervised)
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
algo
数据结构和算法必知必会的50个代码实现
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
awesome-normalizing-flows
Awesome resources on normalizing flows.
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
dotfile
Personal dotfile
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
GLUE
Graph-linked unified embedding for single-cell multi-omics data integration
HiC_data
A (continuously updated) collection of references to Hi-C data. Predominantly human/mouse Hi-C data, with replicates.
Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
MachineLearningLectureNotes
张志华机器学习导论 MOOC 讲义
mne-nirs
Process Near-Infrared Spectroscopy Data in MNE
OpenSA
Aiming at the common training datsets split, spectrum preprocessing, wavelength select and calibration models algorithm involved in the spectral analysis process, a complete algorithm library is established, which is named opensa (openspectrum analysis).
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
ScoreDiffusionModel
The Pytorch Tutorial of Score-based and Diffusion Model
SpatialScope
A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch