Articles by Dmytro Spodarets
163 items
Data Phoenix Digest - ISSUE 41
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 ...
Jan 21, 2022
Data Phoenix Digest - ISSUE 40
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 ...
Jan 14, 2022
Overview of the TOP Algorithms for Machine Learning. Part 1
In the first part of the article, we’ll talk about Machine Learning tasks (Supervised, Unsupervised, and Reinforcement Learning) and such algorithms as Linear Regression, K-Nearest Neighbors (kNN), Convolutional Neural Network (CNN). All algorithms are accompanied with examples of code that you play with on your own. Before we start reviewing the top ML algorithms, though, let’s first describe and define supervised, unsupervised and reinforced learning tasks, and learn how to differentiate them
Jan 13, 2022
The birth of Albumentations
I would like to talk about Albumentations, an open-source library for image Augmentations. An explanation of how it was born and evolved over time. The text’s primary purpose is to depict its creation, as I would like to have a story to enjoy in 20 years. I will mainly talk about the library’s origins and cover the process of iterative improvements in fewer details. The text could be more concise, but I prefer to keep unnecessary information for historical purposes. Albumentations [https://alb
Jan 7, 2022
Data Phoenix Digest - ISSUE 39
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 ...
Jan 7, 2022
Data Phoenix Digest - ISSUE 38
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 ...
Dec 31, 2021
Data Phoenix Digest - ISSUE 37
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 ...
Dec 24, 2021Data Phoenix Digest - ISSUE 36
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 ...
Dec 17, 2021Data 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 ...
Dec 10, 2021Data 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 ...
Dec 3, 2021Data 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 ...
Nov 26, 2021Data 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 ...
Nov 19, 2021