aytacpacal

aytacpacal's Stars

• ytdl-org/youtube-dl

  Command-line program to download videos from YouTube.com and other video sites

  Language:Python132k2.2k26.6k10k

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML69.7k1k13614.5k

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook68.3k55771310.2k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python56.1k4581325.8k

• lllyasviel/Fooocus

  Focus on prompting and generating

  Language:Python41.3k3221.5k5.8k

• microsoft/Data-Science-For-Beginners

  10 Weeks, 20 Lessons, Data Science for All!

  Language:Jupyter Notebook28.2k5121165.8k

• ageron/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.

  Language:Jupyter Notebook28k65651112.8k

• trekhleb/homemade-machine-learning

  🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

  Language:Jupyter Notebook23.1k938274.1k

• spmallick/learnopencv

  Learn OpenCV : C++ and Python Examples

  Language:Jupyter Notebook21.3k88531911.6k

• microsoft/Bringing-Old-Photos-Back-to-Life

  Bringing Old Photo Back to Life (CVPR 2020 oral)

  Language:Python15.1k2852532k

• mikeroyal/Self-Hosting-Guide

  Self-Hosting Guide. Learn all about locally hosting (on premises & private web servers) and managing software applications by yourself or your organization. Including Cloud, LLMs, WireGuard, Automation, Home Assistant, and Networking.

  Language:Dockerfile11.1k16216587

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.6k43851.1k

• cbh123/narrator

  David Attenborough narrates your life

  Language:Python4.4k3035533

• rasbt/machine-learning-book

  Code Repository for Machine Learning with PyTorch and Scikit-Learn

  Language:Jupyter Notebook3.6k56951.3k

• bfortuner/ml-glossary

  Machine learning glossary

  Language:Python3k12535724

• luka1199/geo-heatmap

  :world_map: Generate an interactive geo heatmap from your Google location data

  Language:Python2k4031226

• numenta/NAB

  The Numenta Anomaly Benchmark

  Language:Jupyter Notebook1.9k119179869

• trekhleb/machine-learning-experiments

  🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

  Language:Jupyter Notebook1.7k608299

• KDD-OpenSource/DeepADoTS

  Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

  Language:Python5651781116

• lin-shuyu/VAE-LSTM-for-anomaly-detection

  We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

  Language:Jupyter Notebook457101186

• Jackson-Kang/Pytorch-VAE-tutorial

  A simple tutorial of Variational AutoEncoders with Pytorch

  Language:Jupyter Notebook3273476

• Flow-Based-Cartograms/go_cart

  High-performance software to produce flow-based cartograms.

  Language:C113101533

• brian-rose/ClimateLaboratoryBook

  JupyterBook source for The Climate Laboratory

  Language:Jupyter Notebook10443344

• TomasBeuzen/deep-learning-with-pytorch

  Content from the University of British Columbia's Master of Data Science course DSCI 572.

  Language:Jupyter Notebook373119

• mathause/cmip_warming_levels

  year when a certain warming level was reached in CMIP5 and CMIP6 data

  Language:Shell25517

• IPL-UV/AIDE

  Language:HTML14403

• MarcoLandtHayen/climate_index_collection

  Language:Jupyter Notebook82

• taolicheng/VAE-Jet

  Variational Autoencoders for Anomalous Jet Tagging at the Large Hadron Collider

  Language:Python8402

• moryba/Climate_Analysis

  Language:Jupyter Notebook3101

• schlunma/dissertation

  This repository contains my doctoral dissertation.

  Language:TeX1100