m0saan

m0saan

Hi there 🖖, This is my Github README.

awesome-mojo

A curated list of awesome Mojo 🔥 frameworks, libraries, software and resources

glitch_art

lit-gpt

Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

minima

a lightweight deep learning framework, lean yet effective tailor-made for educational exploration.

mojo

The Mojo Programming Language

miniSD

a pedagogical project aimed at demonstrating the principles and working of stable diffusion algorithms in a simplified, intuitive manner.

AnimateDiff

implementation of AnimateDiff.

autocomplete

IDE-style autocomplete for your existing terminal & shell

awesome-generative-ai

A curated list of Generative AI tools, works, models, and references

chato-botto

ControlNet

Let us control diffusion models!

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

Everything-about-LLMs

GuitarDetect

Deep Learning for Guitars 🎸: Guitar Classifier using CNN

hands-on-train-and-deploy-ml

Train an ML model to predict crypto prices and deploy it as a REST API.

k-diffusion

Karras et al. (2022) diffusion models for PyTorch

keep-up-with-AGI

kuteGPT

m0saan.github.io

mini_llama

mistral-src

MLOps-Basics

mlx

MLX: An array framework for Apple silicon

portfolio

PySyft

Perform data science on data that remains in someone else's server

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

StyleFusion

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022