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100-days-of-ml-code

100 Days of ML Coding

2018-developmental-single-cell-rna-sequencing

Scripts for analyzing data from manuscript under revisions

advancedpythoncourse

Material for advanced Python course 2019

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algo

数据结构和算法必知必会的50个代码实现

algorithm

code for algorithm

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, ... 🧠

bioanno

Build Annotation package by using information from KEGG, NCBI, Ensembl

biotiny

Collection of Tiny Tools For Bioinformatics

candihap

Build haplotye and generate figures

cd8_t_cell

chatgpt

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

comparison_of_da_microbiome_methods

computationalgenomicswithr

Computational Genomics with R

covid19

single cell analysis code

cowork_pa

cplusplus

Small C++ program : A fast and practical computation to generate all the shortest unique subsequences in genome

crispr-pacman-pool-generation

d2l-zh-

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

dalex

Descriptive mAchine Learning EXplanations

data-science-complete-tutorial

For extensive instructor led learning

deep-learning

personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout， 三种梯度下降方法(BGD, SGD, mini-batch)，六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam)，梯度检验、batch normalization）、RNN

deep-learning-with-python-notebooks

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

deepdrug

drug learning

deeplearning

Deep Learning

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，近30万字。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

deeplearningdataintegration

Here I show how to use Deep Learning for biological and biomedical Data Integration.

dfply

dplyr-style piping operations for pandas dataframes

dl_tutorials

Deep learning tutorials (2nd ed.)

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke