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Kanazawa University
- Kanazawa, Ishikawa
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Making LLaVA Tiny via MoE-Knowledge Distillation
Images to inference with no labeling (use foundation models to train supervised models).
🤖 The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transf…
这是一份入门AI/LLM大模型的逐步指南,包含教程和演示代码,带你从API走进本地大模型部署和微调,代码文件会提供Kaggle或Colab在线版本,即便没有显卡也可以进行学习。项目中还开设了一个小型的代码游乐场🎡,你可以尝试在里面实验一些有意思的AI脚本。同时,包含李宏毅 (HUNG-YI LEE)2024生成式人工智能导论课程的完整中文镜像作业。
Algorithms and Data Structures implemented in JavaScript for beginners, following best practices.
Easy to use Python camera interface for NVIDIA Jetson
Aligning LMMs with Factually Augmented RLHF
A curated list of 3D Vision papers relating to Robotics domain in the era of large models i.e. LLMs/VLMs, inspired by awesome-computer-vision, including papers, codes, and related websites
1000+份计算机paper,卡耐基梅隆大学,哈佛,斯坦福,芝加哥大学,MIT,facebook,google,微软,Amazon,twitter等大牛一作,持续更新中
A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
🔥基于go-zero(go zero) 微服务全技术栈开发最佳实践项目。Develop best practice projects based on the full technology stack of go zero (go zero) microservices.
《机器学习理论导引》(宝箱书)的证明、案例、概念补充与参考文献讲解。
Collection of publicly available IPTV channels from all over the world
Learning Convolutional Neural Networks with Interactive Visualization.
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
50+ mini web projects using HTML, CSS & JS
A GPU-accelerated TSDF and ESDF library for robots equipped with RGB-D cameras.
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.