A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
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Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Visualizer for neural network, deep learning and machine learning models
Invoke is a leading creative engine that uses image and video generation models to empower professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry-leading application interface, and serves as the foundation for multiple commercial products.
- ai-art
- artificial-intelligence
- generative-art
- image-generation
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer
TranslatedVisual Novel Translator
- galgame
- visual-novel
- translator
- reverse-engineering
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
- deep-learning
- pytorch
- grad-cam
- visualizations
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
- attention
- pytorch
- paper
- cbam
Refine high-quality datasets and visual AI models
Tool for real-time visualization, monitoring and collaborative analysis of AI/ML experiments and live data. Supports Python, PyTorch/Torch, NumPy, TensorFlow/Keras https://visdom.dev
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
- generative-ai
- gpt
- deep-learning
- langauge-model
Learning Convolutional Neural Networks with Interactive Visualization.
- deep-learning
- visualization
- interactive-visualizations
- visual-learning
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
- python
- machine-learning
- natural-language-processing
- web-mining
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
- auto-regressive-model
- diffusion-models
- image-generation
- transformers
Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation
- face-animation
- image-animation
- video-animation
Uniform Manifold Approximation and Projection
- umap
- dimensionality-reduction
- visualization
- machine-learning
Pytorch implementation of convolutional neural network visualization techniques
- grad-cam
- cam
- pytorch
- guided-backpropagation
BertViz: Visualize Attention in Transformer Models
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
- pytorch
- tensorboard
- machine-learning
- visualization
TensorFlow's Visualization Toolkit
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"