Data Phoenix Digest - ISSUE 35
AI trends report, AWS re:Invent 2021, how to handle ML model drift in production, XGBoost vs LightGBM, DCGAN for Fashion-MNIST, Adobe Research at ICCV 2021, NVIDIA TAO, HyperStyle, EditGAN, Florence, videos, books, jobs, and more ...
Data Phoenix Digest - ISSUE 34
The launch of PyTorch Live, training a DCGAN in PyTorch, text classification with BERT in PyTorch, transformers from scratch, Machine-in-the-Loop rewriting for creative image captioning, TorchGeo, LILA, OpenPrompt, WaveFake, books, jobs, and more ...
Data Phoenix Digest - ISSUE 33
Instant access to OpenAI’s API. The perks of AI and automation. What Is the difference between outlier detection and data drift detection? PyTorch C++ API for use on mobile platforms. Compositional transformers for scene generation. CleanRL, Causal-BALD, Deceive D, jobs, and more ...
Data Phoenix Digest - ISSUE 32
NVIDIA's Omniverse and BMW, industrial data revolution, AI trends for 2022, K-Means clustering explained, AutoML, EditGAN, DScribe, CFPNet, StyleCLIPDraw, jobs, and more ...
Webinar "Interpretable Machine Learning for Materials R&D"
Join Dr. Dean and Dr. Bazhirov on November 19th to learn more about Interpretable machine learning for materials research and development.
Data Phoenix Digest - ISSUE 31
NVIDIA GTC, Isomorphic Labs, and AI-powered drug discovery, algorithms predicting stress at the atomic scale, training a DCGAN in PyTorch, deploying your first ML API, alias-free Generative Adversarial Networks, causal ImageNet, SchNet, CaraNet, obs, and more ...
Data Phoenix Digest - ISSUE 30
Project OpenBytes and the NextArch Foundation, Azure OpenAI service, AI for drinking water, a gentle introduction to Vector Space Models, Non-Deep Networks, Wav2CLIP, ADOP, NLP course, AutoML course, jobs, and more ...