hemal-shah's Stars
huginn/huginn
Create agents that monitor and act on your behalf. Your agents are standing by!
sdmg15/Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
yosriady/awesome-api-devtools
:books: A collection of useful resources for building RESTful HTTP+JSON APIs.
vineetjohn/daily-coding-problem
Solutions to problems sent by dailycodingproblem.com
scala/scala-dev
Scala 2 team issues. Not for user-facing bugs or directly actionable user-facing improvements. For build/test/infra and for longer-term planning and idea tracking. Our bug tracker is at https://github.com/scala/bug/issues
cmackenzie1/new-grads-2020
A collection of new grad roles for 2020
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
haoel/leetcode
LeetCode Problems' Solutions
binhnguyennus/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
MisterBooo/LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
datasciencescoop/Data-Science--Cheat-Sheet
Cheat Sheets
ashual/style-transfer
afrozas/skip-thought-gan
Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors
OmkarPathak/pygorithm
A Python module for learning all major algorithms
amitshekhariitbhu/android-interview-questions
Your Cheat Sheet For Android Interview - Android Interview Questions and Answers
coells/100days
100 days of algorithms
florent37/ViewTooltip
A fluent tooltip for Android
kdn251/interviews
Everything you need to know to get the job.
amitshekhariitbhu/from-java-to-kotlin
From Java To Kotlin - Your Cheat Sheet For Java To Kotlin
aritraroy/UltimateAndroidReference
:rocket: Ultimate Android Reference - Your Road to Become a Better Android Developer
hemal-shah/CLRS
Targeting to implement as many algorithms from CLRS as possible before pursuing my master's program.
sherxon/AlgoDS
Implementation of Algorithms and Data Structures, Problems and Solutions
donnemartin/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.
teesloane/Auth-Boss
🔒 Become an Auth Boss. Learn about different authentication methodologies on the web.
kamranahmedse/design-patterns-for-humans
An ultra-simplified explanation to design patterns
athkalia/Just-Another-Android-App
An Android base app with loads of cool libraries/configuration NOT MAINTAINED
MatthiasRobbers/shortbread
Android library that creates app shortcuts from annotations
thewhitetulip/build-app-with-python-antitextbook
Aims to teach Python3 by example
jaychang0917/SimpleRecyclerView
A RecyclerView extension for building list more easily.
romannurik/AndroidAssetStudio
A set of web-based tools for generating graphics and other assets that would eventually be in an Android application's res/ directory.