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Video recording of our webinar about synthetic data and how they help to enable responsible innovation by Shalini Kurapati, let's build GPT, best collaboration practices from 4 ML teams, self-serve feature platforms, DreamerV3, YOLOv6 v3.0, GLIGEN, HyperReel, StyleGAN-T, books, and more.
Video recording of our webinar about dstack and reproducible ML workflows, AVL binary tree operations, Ultralytics YOLOv8, training XGBoost, productionize ML models, introduction to forecasting ensembles, domain expansion of image generators, Muse, X-Decoder, Box2Mask, RoDynRF, AgileAvatar and more.
Building a GitOps ML model registry with DVC and GTO, 10 metrics to evaluate supervised ML models, scaling ML model development with MLflow, ChatGPT and DALL·E 2 in a panel app, scalable diffusion models with transformers, NeRF-Art, ECON, InstantAvatar, DifFace, TextBox 2.0, ClimateNeRF, and more.
AI image generator, data versioning for ML in Airflow, the illustrated stable diffusion, into the transformer, building Airbnb categories with ML and Human-in-the-Loop, novel view synthesis with diffusion models, RANA, UDE, 3DHumanGAN, courses, books, and more.
Webinar "Vertex AI Pipelines infrastructure with Terraform", data version control with DVC and Git, the 5 stages of ML validation, 10 quick pandas tricks, InstructPix2Pix, DAMO-YOLO, ReFace, DiffusionInst, DiffusionBERT, and more.
Webinar "Vertex AI Pipelines infrastructure with Terraform", bringing GitOps to ML with dstack, “You Can’t Predict the Errors of Your Model”… Or Can You?, time series analysis introduction, DeepAR, DiffusionDet, Galactica, Versatile Diffusion, CodeGen, and more.
Efficiently scaling transformer inference, MLOps pipeline with GitLab in minutes, monitoring ML models with Vertex AI, scaling instruction-finetuned language models, Colossal-AI, InternImage, AnimeRun, PhaseAug, and more.
