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100-days-of-ml-code

100 Days of ML Coding

10xtofastq

create fastq files from 10x read files and tag all reads from the same droplet as paired reads (e.g. @ST-K00126:334:HGKNJBBXX:5:1101:31933:1437 (1-n):N:0:NACGCCTT)

2022-machine-learning-specialization

2023_spring_nlp_in_health

ai4science101

AI for Science

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-ai-bioinformatics

A curated list of awesome AI and Bioinformatics.

awesome-deep-learning-4-life-sciences

A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).

awesome-graph-representation-learning

A curated list for awesome graph representation learning resources.

awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

aws-hpc-tutorials

bio

bioinformatics

:microscope: Path to a free self-taught education in Bioinformatics!

biomedicalresearch2021

Course Materials for EN.601.452 / AS.020.415 Computational Biomedical Research & Advanced Biomedical Research

birthday_o

bsseq

Devel repository for bsseq

coreml

Generic framework for ML projects

cpang19

CPANG19 - Computational PANGenomics (2019)

cpython

The Python programming language

data-science-notes

数据科学的笔记以及资料搜集

deep-learning-for-genomics-

deep-rules

Ten Quick Tips for Deep Learning in Biology

deepimv

A Variational Information Bottleneck Approach to Multi-Omics Data Integration

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

fastbook

Draft of the fastai book

githubdaily

GitHubDaily 分享内容定期整理与分类。欢迎推荐、自荐项目，让更多人知道你的项目。

google-health_genomics-research

graph-neural-networks-in-life-sciences

graphormer

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.

happybirthday

祝福女朋友生日快乐