Minh-Hai Tran's starred repositories
agent-protocol
Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents.
minified-generative-models
Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc
awesome-few-shot-object-detection
Collect some papers and datastes about few-shot object detection for computer vision.
few-shot-meta-baseline
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
HallusionBench
[CVPR'24] HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models
Awesome-3D-Object-Detection
Papers, code and datasets about deep learning for 3D Object Detection.
AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
Multi-Scale-Attention
Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"
khoj
Your AI second brain. Get answers to your questions, whether they be online or in your own notes. Use online AI models (e.g gpt4) or private, local LLMs (e.g llama3). Self-host locally or use our cloud instance. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.
Faster-Inference-yolov8
Faster inference YOLOv8: Optimize and export YOLOv8 models for faster inference using OpenVINO and Numpy 🔢
few-shot-ssl-public
Meta Learning for Semi-Supervised Few-Shot Classification
StoryDiffusion
Create Magic Story!
bbox-visualizer
Make drawing and labeling bounding boxes easy as cake
Data-science
Collection of useful data science topics along with articles, videos, and code
meta-transfer-learning
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
UCTransNet
Implementation of our AAAI'22 work: 'UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer'.
Awesome-Weakly-Supervised-Semantic-Segmentation-Papers
Recent weakly supervised semantic segmentation paper
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more