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š± Iām currently learning Data Science and Machine Learning
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š« Say hello @ [email protected]
mohithrajashekar Goto Github PK
Name: Mohith
Type: User
Location: Bengaluru
Name: Mohith
Type: User
Location: Bengaluru
š± Iām currently learning Data Science and Machine Learning
:earth_africa: A curated list of APIs, open data and ML/AI projects on climate change
:mortar_board: Path to a free self-taught education in Computer Science!
Documentation for GitHub Copilot
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
:bar_chart: Path to a free self-taught education in Data Science!
Data science interview questions and answers
My fastai blog
The fastai book, published as Jupyter Notebooks
A robot powered training repository :robot:
GLIDE: a diffusion-based text-conditional image synthesis model
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
A proof-of-concept jupyter extension which converts english queries into relevant python code
An attempt to scrape data from LinkedIn to extract job related insights 3-5 months down the line
Machine Learning Engineer Nanodegree portfolio, which includes projects and their notebooks/reports.
Config files for my GitHub profile.
High-Resolution 3D Human Digitization from A Single Image.
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Practice Practice Practice
A file-based quote bot written in Python
An educational resource to help anyone learn deep reinforcement learning.
Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.
An Open Source Machine Learning Framework for Everyone
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
š¤ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ššš
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ā¤ļø Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.