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sumitbali's Projects

cnn-explainer icon cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

doubledip icon doubledip

Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors"

fastai icon fastai

The fastai deep learning library, plus lessons and tutorials

gibmacos icon gibmacos

Py2/py3 script that can download macOS components direct from Apple

gmic icon gmic

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

machine_learning_refined icon machine_learning_refined

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

ml-from-scratch icon ml-from-scratch

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.

nlp-progress icon nlp-progress

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.

pandas icon pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

practicaldl icon practicaldl

A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras materials for Frontend Masters course

rising icon rising

Provides everything needed for high performance data loading and augmentation in pytorch.

supcontrast icon supcontrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

tensorflow-2.x-tutorials icon tensorflow-2.x-tutorials

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。

waterfall icon waterfall

An easy to use waterfall chart function for Python

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