Data Phoenix Digest is a collection of the best and latest articles, papers, courses, interviews, podcasts, videos, datasets, events, books, and jobs on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Science, Robotics and other aspects of Artificial Intelligence.
Human-like AI avatars by DeepBrain AI, two-dimensional tensors in Pytorch, Unsupervised Reinforcement Learning benchmark, instant neural graphics primitives with a multiresolution hash encoding, a ConvNet for the 2020s, LaMDA, Plenoxel, NeROIC, courses, podcasts, and more ...
Overview of the TOP algorithms for ML, distributed training, capacity recommendation engine, time series anomaly detection with PyFBAD, linear algebra with transformers, a ConvNet for the 2020s, JoJoGAN, Plenoxels, videos, courses, jobs, and more ...
Data Phoenix invites everyone to Slack chat, the birth of Albumentations, neural network from scratch, Self-Supervised Learning from 100 million medical images, a general language assistant as a laboratory for alignment, NL-Augmenter, projects, jobs, and more ...
Data Phoenix team looking for speakers, introduction to clustering in Python with PyCaret, OCR passports with OpenCV and Tesseract, visualizing decision trees with Pybaobabdt, Pix2Pix, PP-ShiTu, FuseDream, PartImageNet, jobs, and more ...
Distillation of BERT-like models, getting started with Comet ML, hands-on with SciKit-Learn feature-engineering, ensembling off-the-shelf models for GAN training, generative art using neural visual grammars and dual encoders, DSP-SLAM, jobs, and more ...
Data Phoenix team looking for speakers, unsupervised anomaly detection in Python, GAN training challenges, Player of Games, GAN-Supervised dense visual alignment, NeRF, ICON, SeqFormer, videos, jobs, and more ...
Data Phoenix team looking for speakers, MLCommons presents free and open-source datasets for speech recognition, accelerating inference up to 6x, document understanding transformer without OCR, GradInit, NÜWA, videos, jobs, and more ...
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 ...
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 ...
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 ...
NVIDIA's Omniverse and BMW, industrial data revolution, AI trends for 2022, K-Means clustering explained, AutoML, EditGAN, DScribe, CFPNet, StyleCLIPDraw, jobs, and more ...
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 ...