Ilia Karmanov's repositories
DeepLearningFrameworks
Demo of running NNs across different frameworks
DemoNeuralNet
Toy project to create a simple working neural net in R
Pytorch-i3d-AML
Distributed training of DeepMind's i3d in Pytorch using AML
mxnet-the-straight-dope
An interactive book on deep learning. Much easy, so MXNet. Wow.
rotated_maskrcnn
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
action-recognition-pytorch
This is the pytorch implementation of some representative action recognition approaches including I3D, S3D, TSN and TAM.
CNN-for-ASI
Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation
cottonwood
A flexible neural network framework for running experiments and trying ideas.
deep_learning_object_detection
A paper list of object detection using deep learning.
detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
dt-apriltags
Python bindings to the Apriltags library
FixMatch-pytorch
Unofficial Pytorch code for "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" in NeurIPS'20. This repo contains reproduced checkpoints.
HRNet-FCOS
High-resolution Networks for the Fully Convolutional One-Stage Object Detection (FCOS) algorithm
ig65m-pytorch
PyTorch 3D video classification models pre-trained on 65 million Instagram videos
ilkarman.github.io
My Academic Website
pytorch-balanced-batch
A pytorch dataset sampler for always sampling balanced batches.
pytorch_GAN_zoo
A mix of GAN implementations including progressive growing
recommenders
Best Practices on Recommendation Systems
simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
single-parameter-fit
Real numbers, data science and chaos: How to fit any dataset with a single parameter
synthetic-computer-vision
A list of synthetic dataset and tools for computer vision
tensornets
High level network definitions with pre-trained weights in TensorFlow
weighted-hausdorff-loss
A loss function (Weighted Hausdorff Distance) for object localization in PyTorch
YOLO_v3_tutorial_from_scratch
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"