Explore Projects
Discover 89 open source projects
Showing 21-40 of 89 projects
zjunlp/DeepKE
An open toolkit for knowledge graph extraction and construction in Python.
Picsart-AI-Research/Text2Video-Zero
A powerful text-to-video generation model that can turn prompts into high-quality videos, built for AI-driven developers.
mg-chao/snow-shot
A powerful screenshot tool with OCR, translation, and other productivity features for developers.
Plachtaa/seed-vc
Zero-shot voice conversion and singing voice conversion library with real-time support for vibe coders.
DSXiangLi/DecryptPrompt
This GitHub repository is a collection of AI-related papers, datasets, and applications focused on prompt engineering and large language models.
sgrvinod/a-PyTorch-Tutorial-to-Object-Detection
A PyTorch tutorial for object detection using the Single Shot MultiBox Detector (SSD) algorithm.
gre/react-native-view-shot
A React Native library for capturing and saving screenshots of React Native views as images.
learnables/learn2learn
A PyTorch library for meta-learning research, enabling few-shot, fine-tuning, and other advanced ML techniques.
isl-org/ZoeDepth
A GitHub repository providing a metric depth estimation model from a single image using deep learning.
NVlabs/FoundationStereo
FoundationStereo is a CVPR 2025 Best Paper Nomination project for zero-shot stereo matching using AI.
protectai/vulnhuntr
Zero-shot vulnerability discovery using large language models (LLMs) for security researchers.
OpenGVLab/InternVideo
A video foundation model and dataset for multimodal understanding and video understanding tasks.
lifeiteng/vall-e
A PyTorch implementation of VALL-E, a zero-shot text-to-speech model for vibe coders.
adobe-research/custom-diffusion
Custom Diffusion: A Python implementation of text-to-image diffusion models for computer vision applications.
roboterax/humanoid-gym
Reinforcement learning framework for training humanoid robots with zero-shot sim-to-real transfer.
pierluigiferrari/ssd_keras
A Keras port of the Single Shot MultiBox Detector, a deep learning-based object detection model.
NVlabs/few-shot-vid2vid
PyTorch implementation for few-shot photorealistic video-to-video translation.
tata1661/FSL-Mate
A collection of resources for few-shot learning (FSL) in Python, useful for vibe coders building AI-powered applications.
coderonion/awesome-yolo-object-detection
A curated collection of YOLO object detection projects and datasets for developers working with computer vision and AI.
roboflow/awesome-openai-vision-api-experiments
A must-have resource for experimenting with and building on the OpenAI vision API.
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