Pi Esposito

blitz-bayesian-deep-learning. A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

pytorch-lstm-by-hand. A small and simple tutorial on how to craft a LSTM nn.Module by hand on PyTorch.

tiny-ai-client. Tiny client for LLMs with vision and tool calling. As simple as it gets.

transformers-low-code-experiments. Low-code pre-built pipelines for experiments with huggingface/transformers for Data Scientists in a rush.

vertex-ai-tutorials. Tutorials for Vertex AI tools

br-quad-2.0. Stanford Question Answering Dataset (SQuAD) 2.0 translated to Brazilian Portuguese (PT-BR) language.

python-whatsapp-bot. Minimal working python-telegram-bot for WhatsApp

TanD. TanD - Train and Deploy is a no-code framework to automatize the Machine Learning workflow.

ai-os. Integrate your OS with an LLM.

chatgpt-conversation-exporter. Lets you export your ChatGPT conversations with CTRL+J

piEsposito.

bayesian-torch. Bayesian-Torch is a library of neural network layers and utilities extending the core of PyTorch to enable the user to perform stochastic variational inference in Bayesian deep neural networks

tfx-tutorial-medium. Repo for a TFx Tutorial on my Medium

nlp-sentiment-analysis-turing-talks. Jupyter Notebook for Turing Talks: "Análise de sentimento usando LSTM no PyTorch"

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

probability. Probabilistic reasoning and statistical analysis in TensorFlow