khewahah Goto Github PK

allhic

ALLHiC: phasing and scaffolding polyploid genomes based on Hi-C data

bert

TensorFlow code and pre-trained models for BERT

biopython.github.io

Source of biopython.org website, migrated from MediaWiki

book3_elements-of-mathematics

Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！

book4_power-of-matrix

Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！

book5_essentials-of-probability-and-statistics

Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；完册，最后打磨。纠错多的同学，有赠书感谢！

book6_first-course-in-data-science

Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；2024年继续增补，并大修大改两轮。纠错多的同学，有赠书感谢！

book7_visualizations-for-machine-learning

Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；2024年继续增补，并大修大改两轮。纠错多的同学，有赠书感谢！

bwa

Burrow-Wheeler Aligner for short-read alignment (see minimap2 for long-read alignment)

cs-self-learning

计算机自学指南

dajian-vpn

搭建VPN教程/个人vpn搭建/科学上网/2022搭建ss/一键脚本搭建/梯子/翻墙教程/电脑手机使用VPN

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

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

demo-repo

Demo for Github

demo-repo2

dlscore

DLSCORE: A deep learning based scoring function for predicting protein-ligand binding affinity

dnngp

DNNGP: Deep neural network for genomic prediction

ervmap

ERVmap is one part curated database of human proviral ERV loci and one part a stringent algorithm to determine which ERVs are transcribed in their RNA seq data.

fastp

Upgraded FASTP more suitable for industry standard

gemma

Genome-wide Efficient Mixed Model Association

geometricus

A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.

gpt_academic

为GPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，新增Python和C++项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型。兼容llama,rwkv,盘古大模型等。

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-algorithm

🌍 针对小白的算法训练 | 包括四部分：①.算法基础 ②.力扣图解 ③.大厂面经 ④.CS_汇总 | 附：1、千本开源电子书 2、百张技术思维导图（项目花了上百小时，希望可以点 star 支持，🌹感谢~）

java

All Algorithms implemented in Java

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

khewahah

Config files for my GitHub profile.

learning-bioinformatics-at-home

resources for learning bioinformatics

minigraph

Proof-of-concept seq-to-graph mapper and graph generator

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。