📝 ML Paper implementation of machine learning paper, ADASYN

PyTorch reimplementation of the paper 'Learning to Negate Adjectives with Bilinear Models" - https://www.aclweb.org/anthology/E17-2012.pdf

An implementation of Vision Transformers in TensorFlow

Automatically generating language descriptions for remote sensing images has emerged as a significant research area within the field of remote sensing. This project focuses on attention-based captioning methods, which are a prominent class of deep learning-based techniques for generating captions.

program synthesis with neuro-symbolic differentiable interpreters

Code from "How useful is quantilization for mitigating specification-gaming?"

implementation of the Colorful Image Colorization technique proposed by Richard Zhang, Phillip Isola, and Alexei A. Efros.

A simple implementation based on the "Attention is All You Need" paper, using GPT-2 for text generation.

Code for the paper "Combining Gradients and Probabilities for Heterogeneours Approximation of Neural Networks"

Implementation of Tversky Neural Networks, from Doumbouya et al. (2025), in PyTorch .

(ViT) Vision Image Transformer PyTorch Implementation

A modern implementation of CVPR 2016 paper: "A Hierarchical Deep Temporal Model for Group Activity Recognition."

Personal study and implementation of the "Evolution of Heuristics" paper using LLMs to generate heuristic algorithms.

Implementation of VAEs (Variational Autoencoders) with PyTorch.

PyTorch implementation of building robust deep learning neural networks by adding noise to image data before training.

Latent diffusion model following Umar Jamil's tutorial https://youtu.be/ZBKpAp_6TGI?si=Fa822KYeOP_2LWdr https://github.com/hkproj/pytorch-stable-diffusion

PyTorch implementation of "Effective dimension of machine learning models" paper

🌈 Paper-implementations in Code Search (Baseline).