Popular GitHub Repositories for Latent Space Visualization

Build and share delightful machine learning apps, all in Python. ? Star to support our work!

? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.

Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.

? A ranked list of awesome machine learning Python libraries. Updated weekly.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

? Chat with your SQL database ?. Accurate Text-to-SQL Generation via LLMs using RAG ?.

Turns Data and AI algorithms into production-ready web applications in no time.

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.

Refine high-quality datasets and visual AI models

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Learning Convolutional Neural Networks with Interactive Visualization.

Pytorch implementation of convolutional neural network visualization techniques

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Uniform Manifold Approximation and Projection

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

Visualizations for machine learning datasets

Statistical Machine Intelligence & Learning Engine

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models