Juan David Mogollon's starred repositories
faster-kan
Benchmarking and Testing FastKAN
LocalAI
:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference
Segment-Everything-Everywhere-All-At-Once
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
professional-programming
A collection of learning resources for curious software engineers
seminar_multimodal_dl
https://slds-lmu.github.io/seminar_multimodal_dl/
awesome-3d-reconstruction-papers
A collection of 3D reconstruction papers in the deep learning era.
prompttools
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
gpt-engineer
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
Machine-Learning-for-Algorithmic-Trading-Second-Edition
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
ML-Papers-of-the-Week
🔥Highlighting the top ML papers every week.
Inpaint-Anything
Inpaint anything using Segment Anything and inpainting models.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
llm-inference
Large Language Model (LLM) Inference API and Chatbot
git-flow-cheatsheet
A cheatsheet on the usage of git flow
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, ... 🧠
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
preguntas-entrevista-react
Preguntas típicas sobre React para entrevistas de trabajo ⚛️