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Carlos Arranz's Projects

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

๐Ÿง‘โ€๐Ÿซ 60 Implementations/tutorials of deep learning papers with side-by-side notes ๐Ÿ“; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ŸŽฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐Ÿง 

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

best-of-ml-python icon best-of-ml-python

๐Ÿ† A ranked list of awesome machine learning Python libraries. Updated weekly.

chatbot icon chatbot

Simple ChatBot con Spring Boot y Angular usando IBM Watson Assistant

deep-learning-in-production icon deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deep-learning-papers icon deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

deeplearn icon deeplearn

Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.

fabric icon fabric

fabric is an open-source framework for augmenting humans using AI.

generative-ai-for-beginners icon generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI ๐Ÿ”— https://microsoft.github.io/generative-ai-for-beginners/

hello icon hello

Testing Node.js on IBM Bluemix

lit-gpt icon 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.

llm-course icon llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

ml-class icon ml-class

Machine learning lessons and teaching projects designed for engineers

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