mikeboensel's repositories
stable-diffusion-webui-docker
Easy Docker setup for Stable Diffusion with user-friendly UI
pytorch-official-tutorials
PyTorch tutorials.
audio
Data manipulation and transformation for audio signal processing, powered by PyTorch
d2l-en-Interactive-Deep-Learning-Book-
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Flowise
Drag & drop UI to build your customized LLM flow
web-activity-time-tracker
Chrome Extension that tracks and limits time you spent on sites
mikeboensel.github.io
Github Pages
blog
Public repo for HF blog posts
PokemonRedExperiments
Playing Pokemon Red with Reinforcement Learning
text-generation-webui
A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, llama.cpp (GGUF), Llama models.
hands_on_ml_with_scikit_and_tf_v3
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.
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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.
tts_tortoise
A multi-voice TTS system trained with an emphasis on quality
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
ImageGenUI-automatic1111-webui
Stable Diffusion web UI
ImageGenUI-Fooocus
Focus on prompting and generating
pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
HuggingFaces_transformers_course
The Hugging Face course on Transformers
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, ... 🧠
vscode-markdown-pdf
Markdown converter for Visual Studio Code
interpretable-ml-book
Book about interpretable machine learning
NapkinML
A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
fastai-course22
The fast.ai course 2022 notebooks
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks