sumitbali Goto Github PK
Type: User
Type: User
Code from my course, "Artificial Intelligence with TensorFlow"
Repository for scripts and notebooks from the book: Beginner’s Guide to Using PyTorchfor Deep Learning
Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/
My CS231n lecture notes
Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors"
The fastai deep learning library, plus lessons and tutorials
Py2/py3 script that can download macOS components direct from Apple
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Deep Learning for humans
A booklet on machine learning systems design with exercises
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras materials for Frontend Masters course
Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
Python Deep Dive Course - Accompanying Materials
The "Python Machine Learning (2nd edition)" book code repository and info resource
Provides everything needed for high performance data loading and augmentation in pytorch.
scikit-learn: machine learning in Python
Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
An easy to use waterfall chart function for Python
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.