Popular GitHub Repositories for Dream Interpretation

Pytorch implementation of convolutional neural network visualization techniques

Kodu is an autonomous coding agent that lives in your IDE. It is a VSCode extension that can help you build your dream project step by step by leveraging the latest technologies in automated coding agents

A python library for decision tree visualization and model interpretation.

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

Dream to Control: Learning Behaviors by Latent Imagination

Deep Learning for Seismic Imaging and Interpretation

PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!

ChatWithBinary: Advanced AI-powered binary analysis tool leveraging OpenAI's LangChain technology, revolutionizing CTF Pwners' experience in binary file interpretation and vulnerability detection.

If you've ever had the wish to talk to your AI Waifu using quality characters and voices for character voicing, then I suggest Soul of Waifu. Don't miss the opportunity to touch your dream!

Tiny Dream - An embedded, Header Only, Stable Diffusion C++ implementation

R package for automation of machine learning, forecasting, model evaluation, and model interpretation

Flexible Feature visualization on PyTorch, for research and art :mag_right: :computer: :brain: :art:

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

A certifiable defense against adversarial examples by training neural networks to be provably robust

LLM-based text extraction from unstructured data like PDFs, Words and HTMLs. Transform and cluster the text into your desired format. Less information loss, more interpretation, and faster R&D!

Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch

AI-powered digital picture frame. Generate captivating and unique art from spoken conversations.

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" ? (ICLR 2019)

tensorflow+bert+seq2seq 周公解梦。AI遇上玄学，说出你的梦境(dream)，模型自动解析decode梦境的征兆。类似聊天机器人(chatbot，QA)，你问我答。

Pytorch implementation of the DeepDream computer vision algorithm