aws / amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
See what the GitHub community is most excited about this month.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
🦜🔗 Build context-aware reasoning applications
Code for the ProteinMPNN paper
Learn OpenCV : C++ and Python Examples
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Jupyter Interactive Notebook
Flax is a neural network library for JAX that is designed for flexibility.
10 Weeks, 20 Lessons, Data Science for All!
Acceptance rates for the major AI conferences
Efficient few-shot learning with Sentence Transformers
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.
cube studio开源云原生一站式机器学习/深度学习/大模型AI平台,mlops算法链路全流程,支持大数据平台对接,notebook在线开发,拖拉拽任务流pipeline编排,多机多卡分布式训练,超参搜索,推理服务VGPU虚拟化,边缘计算,标注平台自动化标注,deepseek等大模型sft微调/奖励模型/强化学习训练,vllm/ollama/mindie大模型多机推理,私有知识库,AI模型市场,支持国产cpu/gpu/npu 昇腾生态,支持RDMA,支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano等分布式
stable diffusion webui colab
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
A multi-voice TTS system trained with an emphasis on quality
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.
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.