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100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

automated-cardiac-segmentation-and-disease-diagnosis

Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

bert

TensorFlow code and pre-trained models for BERT

bert-toxic-comments-multilabel

Multilabel classification for Toxic comments challenge using Bert

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

course-v3

The 3rd edition of course.fast.ai

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

data-augmentation-for-text

Code for data augmentation for text/NLP

data-engineering-zoomcamp

Free Data Engineering course!

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

deployment-flask-master

A prototype for flask deployment

face-recognition-based-attendance-system

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

fast-bert

Super easy library for BERT based NLP models

fast_sentence_embeddings

Compute Sentence Embeddings Fast!

fastbook

Draft of the fastai book

heroku

heroku_app

introduction-to-artificial-neural-network-and-deep-learning

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

latexresume

learning-data-mining-with-python

Code repo for Learning Data Mining with Python, published by Packt Publishing

lit-parrot

Implementation of the StableLM/Pythia/INCITE language models based on nanoGPT. Supports flash attention, LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.