Implementation of papers in 100 lines of code.
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Updated
May 10, 2025 - Python
Implementation of papers in 100 lines of code.
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
Custom Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
PyTorch implementations of some FPN-based semantic segmentation architectures: vanilla FPN, Panoptic FPN, PANet FPN; with ResNet and EfficientNet backbones.
implementation of "Evolution Strategies as a Scalable Alternative to Reinforcement Learning" OpenAI paper
Transfering color texture between images
Unofficial implementation of STAN paper published at ISBI 2020 by researchers from University of Idaho using Tensorflow Keras 2.0.
dynnode2vec is a python package that implements algorithms to embed dynamic graphs
🧠 ResNet: Deep Residual Learning for Image Recognition
A minimal PyTorch implementation of Flow Matching for Generative Modeling.
Implementation of the study: "The Use of Deep Learning to Predict Stroke Patient Mortality" by Cheon et al.
An implementation of the paper "Context-aware Captions from Context-agnostic Supervision"
This is a code implemention for paper "Self-Attention Autoencoder for Anomaly Segmentation"
Implementation of paper 'Identification and Translation of Idiomatic Sentence from Hindi to English'
An implementation of the the paper "Image-to-Image Translation with Conditional Adversarial Networks" by Isola et al.
This repository is my journey towards learning ML which contains all my coding experiments ... :)
Implementation of verification algorithms for the Pareto-Rational Verification problem (PRV problem).
Beat and tempo tracking implementation.
A minimal implementation of Score-Based Generative Modeling through SDEs
My Final CNN Project With MNIST Dataset For My Machine Learning Course
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