ansh997
IIT Grad, Perennial self-taught and learn-it-all guy, Data Science and ML Otaku, Code Ninja
IIIT-HyderabadHyderabad, Telangana, India
ansh997's Stars
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
poteto/hiring-without-whiteboards
⭐️ Companies that don't have a broken hiring process
theainerd/MLInterview
:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
4lejandrito/react-guitar
A beautiful and accessible guitar component for React. ⚛️ 🎸
visenger/awesome-mlops
A curated list of references for MLOps
FavioVazquez/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
RBC-DSAI-IITM/rbc-dsai-iitm.github.io-old
Homepage for the Robert Bosch Centre for Data Sciences & Artificial Intelligence at IIT Madras
resume/resume.github.com
Resumes generated using the GitHub informations
ml874/Cracking-the-Data-Science-Interview
Cracking the Data Science Interview
Kayzaks/HackingNeuralNetworks
A small course on exploiting and defending neural networks
Errichto/youtube
codes for my streams and YT videos
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
kaushal02/interview-coding-problems
Popular programming problems previously asked in Online Campus placement Tests
rasbt/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
mandliya/algorithms_and_data_structures
180+ Algorithm & Data Structure Problems using C++
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
lnishan/awesome-competitive-programming
:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
dsgiitr/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
ossu/data-science
📊 Path to a free self-taught education in Data Science!
rushter/data-science-blogs
A curated list of data science blogs
mbadry1/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
pliang279/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
black-shadows/InterviewBit-Topicwise-Solutions
The repository contains solutions to various problems on interviewbit. The code is merely a snippet (as solved on InterviewBit) & hence is not executable in a c++ compiler. The code written is purely original and completely my own.
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
rnorm/book_sample
another book on data science
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
neuroradiology/InsideReCaptcha
Reverse-engineering the new “captchaless” ReCaptcha system...
ansh997/Imaginary-Numbers-Are-Real
Code To Accompany YouTube Series Imaginary Numbers Are Real