yasergirit

perfume_designer_app

Rutgers Data Science Final Project

roop

Based9Based version of ROOP, No NSFW Filter, No ERRORS ;)

linux

Linux kernel source tree

q

q - Run SQL directly on delimited files and multi-file sqlite databases

stable-diffusion

Optimized Stable Diffusion modified to run on lower GPU VRAM

stable-diffusion

A latent text-to-image diffusion model

stable-diffusion-tensorflow

Stable Diffusion in TensorFlow / Keras

hub-docs

Docs of the Hugging Face Hub

pixel2style2pixel

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework

remote-jobs

A list of semi to fully remote-friendly companies (jobs) in tech.

stable-diffusion-webui

Stable Diffusion web UI

Credit-card-approval-prediction-classification

Credit risk analysis for credit card applicants

ML-For-Beginners

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

awesome-colab-notebooks

Collection of google colaboratory notebooks for fast and easy experiments

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, ... 🧠

AI-Expert-Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

taming-transformers

Taming Transformers for High-Resolution Image Synthesis

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

chemics

A Python package for chemical engineering

scikit-learn-tips

:robot::zap: 50 scikit-learn tips

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

100-Days-Of-ML-Code

100 Days of ML Coding

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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.

Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

project-based-learning

Curated list of project-based tutorials

code_snippets

python-cheatsheet

Comprehensive Python Cheatsheet

shap

A game theoretic approach to explain the output of any machine learning model.

ydata-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.