Visual Causal Flow
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Open source hardware and software platform to build a small scale self driving car.
- self-driving-car
- raspberry-pi
- tensorflow
- keras
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
Visual tracking library based on PyTorch.
- computer-vision
- tracking
- machine-learning
- visual-tracking
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!!
- labeling
- labeling-tool
- segment-anything
- yolov8
【EMNLP 2024🔥】Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
- instruction-tuning
- large-vision-language-model
- multi-modal
[CVPR2020] Adversarial Latent Autoencoders
- generative-adversarial-network
- deep-learning
- autoencoder
- ffhq
Digital Avatar Conversational System - Linly-Talker. 😄✨ Linly-Talker is an intelligent AI system that combines large language models (LLMs) with visual models to create a novel human-AI interaction method. 🤝🤖 It integrates various technologies like Whisper, Linly, Microsoft Speech Services, and SadTalker talking head generation system. 🌟🔬
The official repo of MiniMax-Text-01 and MiniMax-VL-01, large-language-model & vision-language-model based on Linear Attention
- large-language-models
- llm
- minimax-text-01
- minimax-vl-01
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
- caffe
- colorization
- automatic-colorization
- deep-learning
Mirix is a multi-agent personal assistant designed to track on-screen activities and answer user questions intelligently. By capturing real-time visual data and consolidating it into structured memories, Mirix transforms raw inputs into a rich knowledge base that adapts to your digital experiences.
- llm-agents
- llm-memory
- memory-agents
- personal-assistant
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
- machine-learning
- convolutional-networks
- embedding-vectors
- embeddings
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.
- gpt-4
- visual-language-learning
- artificial-inteligence
- deep-learning
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
- 3d-reconstruction
- depth-prediction
- feature-matching
- global-features
Awesome work on hand pose estimation/tracking
- computer-vision
- hand-pose-estimation
- deep-learning
- human-computer-interaction
Web app for Scrapyd cluster management, Scrapy log analysis & visualization, Auto packaging, Timer tasks, Monitor & Alert, and Mobile UI. Docs 文档 :point_right:
- scrapy
- scrapyd
- scrapyd-ui
- scrapyd-api
Accelerated deep learning R&D
Efficient vision foundation models for high-resolution generation and perception.
- high-resolution
- imagenet
- efficientvit
- segment-anything
[CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.
- pruning
- model-compression
- efficient-deep-learning
- llm
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
- fcos
- object-detection
- one-stage
- anchor-free
Official repo for "Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models"
- generation
- large-language-models
- vision-language-model
Investigate malicious Windows logon by visualizing and analyzing Windows event log
- security
- dfir
- javascript
- visualization