Data Phoenix Digest - ISSUE 5.2023
Special event "Startup’s Guide to Success in Central and Eastern Europe" at NVIDIA GTC, scaling media ML at Netflix, how to transform time series for DL, time series forecasting with DL in PyTorch, Megane, OmniObject3D, LEGO-Net, Offsite-Tuning, news, and more.
Special event "Startup’s Guide to Success in Central and Eastern Europe" at NVIDIA GTC
How can AI change regional trends to benefit founders and developers alike? We've assembled industry experts on a special NVIDIA GTC event to answer those questions and more.
Data Phoenix Digest - ISSUE 4.2023
Video recording of our webinar about deploying ML models, guide to the YOLO family, discover the 4 magical methods to detect AI-generated text, BentoML vs. FastAPI, Temporal Graph Learning, exploring MLflow experiments, watermark for Large Language Models, EPiC-GAN, Tracr, Msanii, news, and more.
A Guide to the YOLO Family of Computer Vision Models
YOLO (You Only Look Once) is an advanced algorithm that can detect and recognize various objects in a picture in real-time, faster and more accurately than any other algorithm. The YOLO family is advancing, step-by-step, and every update adds to its potential.
What do developers want the most in 2023? Is it better documentation or different tools?
Take part in the new Developer Nation survey and shape the ecosystem! For every survey response, Developer Nation will donate to one of the charities of respondents’ choosing. Hurry up, the survey is open until February 12! Start here.
Data Phoenix Digest - ISSUE 3.2023
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.
Data Phoenix Digest - ISSUE 2.2023
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.