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.
Kubeflow MLOps, a comprehensive list of strategies for feature selection, introducing PyScript, open pre-trained transformer language models, DeepNorm, NeurMiPs, Stanford CS224N NLP with Deep Learning, LAION-5B dataset, and more.
We are excited to get back to work, to revive Data Phoenix from the ashes of war. Today you will know about emerging architectures for modern data infrastructure, backpropagation in RNN, masked generative image transformer, scalable large scene neural view synthesis, and more.
Calculating derivatives in PyTorch, automate your ML development pipeline with PyCaret, a video restoration transformer, adapting CV models for time series and automated EEG review, DALL-Eval, EvoJAX, and more ...
Kubeflow pipeline from scratch, financial text classification using FinBERT, a single model for many visual modalities, a gentle introduction to supervised learning, GAN-based facial editing of real videos, NN-SVG, GreaseLM, Data2vec, videos, and more ...
How to process a dataframe with millions of rows in seconds, calculating derivatives in PyTorch, BERT’s cousin for advanced topic modeling, understanding DBSCAN, convolutional Xformers for vision, transformers in medical imaging, UniFormer, HumanNeRF, Stanford CoreNLP, podcasts, and more ...
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 ...