Stars
Multi-language project used for making tests on SonarQube
Develop a happier and healthier street with our cycling lifestyle.
Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
AI-powered biologics design campaign agent — multi-agent orchestration with BoltzGen, PXDesign, Protenix, and 200+ cloud tools. Antibodies, nanobodies, de novo binders, and beyond.
Read-only mirror of https://gitlab.com/TIBHannover/orkg/orkg-backend. Please contribute there.
Build and run AI agents using Docker Compose. A collection of ready-to-use examples for orchestrating open-source LLMs, tools, and agent runtimes.
Tongyi Deep Research, the Leading Open-source Deep Research Agent
CLI tool to generate terraform files from existing infrastructure (reverse Terraform). Infrastructure to Code
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Guías y recursos para trabajadores remotes desde Chile -- a.k.a el FAQ de #remoto
DeepStream SDK Python bindings and sample applications
Hopsworks - Data-Intensive AI platform with a Feature Store
A study guide for preparing for the GCP Professional Machine Learning Certification in one week or less.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
End-to-End Object Detection with Transformers
Free MLOps course from DataTalks.Club
Integrate custom YOLOv8 model into CVAT for automatic annotation blueprint.
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Template for datasheet for datasets
Dress Code: High-Resolution Multi-Category Virtual Try-On. ECCV 2022
A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.
This repository is a collection of famous books that a person who has keen to learn programming, should go through in his career.
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Diagrams for visualizing neural network architecture
Computer vision library for wildfire detection 🌲 Deep learning models in PyTorch & ONNX for inference on edge devices (e.g. Raspberry Pi)
An overview and exploration of the concept of missing datasets.
List of Dirty, Naughty, Obscene, and Otherwise Bad Words