Oleg Ovcharenko's starred repositories
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
PapersReimplementations
Personal short implementations of Machine Learning papers
self-attention-cv
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
MLgeoscience
Teaching material for ML in Geoscience course
annotated_latex_equations
Examples of how to create colorful, annotated equations in Latex using Tikz.
attention-is-all-you-need-paper
Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017.
conference_call_for_paper
2021-2022 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics
invertible-deep-prior
invertible-deep-prior
Seismology
Teaching material for ErSE 210 Seismology course
cuda-tiled-2D-convolution
Optimized Parallel Tiled Approach to perform 2D Convolution by taking advantage of the lower latency, higher bandwidth shared memory as well as global constant memory cached aggresively within GPU thread blocks.
cuda-training-series
Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)
cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
energy-sdk
GPU Accelerated Building Blocks integrating HPC+AI for Energy Customers
wrox-pro-cuda-c
Sample code from the book "Professional CUDA C Programming"