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annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deeplearningpython

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

demo-repo

demo_deepdoctection

demo_git

e-commerce-db

Database schema for e-commerce (webstores) sites.

getting-started-app

A simple application for the getting started guide in Docker's documentation

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

keras

Deep Learning for humans

n-beats

Keras/Pytorch implementation of N-BEATS

n-beats-1

N-BEATS is a ServiceNow Research project that was started at Element AI.

nbeats_forecast

N-Beats library implementation

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

py

Repository to store sample python programs for python learning

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

python-tutorials

Various tutorials on how to use Python. Created in Jupyter Notebooks.

pytorch-deep-learning

Deep Learning (with PyTorch)

pytorch-image-classification

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorchtutorial

PyTorch Tutorials from my YouTube channel

referencesource

Source from the Microsoft .NET Reference Source that represent a subset of the .NET Framework

sample-gpt-local

scikit-learn

scikit-learn: machine learning in Python