jl987-Jie's Stars
thomastweets/freesurfer-7t-pipeline
A freesurfer segmentation pipeline optimised for 7T datasets
prometheus/client_python
Prometheus instrumentation library for Python applications
robinhood/faust
Python Stream Processing
infinityworks/prometheus-example-queries
Simple place for people to provide examples of queries they've found useful.
OpenTSDB/opentsdb
A scalable, distributed Time Series Database.
fastapi/fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
neuronets/nobrainer
A framework for developing neural network models for 3D image processing.
jayshah19949596/CodingInterviews
This repository contains coding interviews that I have encountered in company interviews
tradingview/lightweight-charts
Performant financial charts built with HTML5 canvas
mmistakes/minimal-mistakes
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
minio/minio
MinIO is a high-performance, S3 compatible object store, open sourced under GNU AGPLv3 license.
labuladong/fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
commaai/openpilot
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system in 275+ supported cars.
ctgk/PRML
PRML algorithms implemented in Python
mvallieres/radiomics
MATLAB programming tools for radiomics analysis
RonsenbergVI/MCMC-estimation-of-Stochastic-Differential-Equations-Papers
A list (quite disorganized for now) of papers tackling the Bayesian estimation of Ito processes (and their discrete time version)
seb-m/pyinotify
Monitoring filesystems events with inotify on Linux.
lrjconan/GRAN
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
common-workflow-language/common-workflow-language
Repository for the CWL standards. Use https://cwl.discourse.group/ for support 😊
freesurfer/freesurfer
Neuroimaging analysis and visualization suite
nipreps/fmriprep
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
mpatacchiola/Y-AE
Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern Recognition Letters (2020)
fastai/fastai
The fastai deep learning library
Zhenye-Na/machine-learning-uiuc
🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
MRtrix3/mrtrix3
MRtrix3 provides a set of tools to perform various advanced diffusion MRI analyses, including constrained spherical deconvolution (CSD), probabilistic tractography, track-density imaging, and apparent fibre density
aws-solutions-library-samples/guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker
DeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control
voxelmorph/voxelmorph
Unsupervised Learning for Image Registration