CLP(Set) in miniKanren

AI research lab🔬: implementations of AI papers and theoretical research: InstructGPT, llama, transformers, diffusion models, RLHF, etc...

List of AI papers I tried to implement so far.

X-Llama🦙 is an Extensible advanced language model framework, inspired by the original Llama model.

Implementation of Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model in PyTorch

my personal website + blog!

Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""

An Amharic News Text classification Dataset

An unofficial implementation of TubeViT in "Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning"

A Collection of Variational Autoencoders (VAE) in PyTorch.

This repository contains Python implementations of various papers that I became familiar with through the Neural Networks and Deep Learning course. These implementations were part of the course homework assignments.

Implementation of the paper "Improved DeepFake Detection Using Whisper Features"

👨‍🎨 DDPM, and High-Resolution Image Synthesis with Latent Diffusion Models, papers implementation from scratch using pytorch.

🎨"Denoising Diffusion Probabilistic Models" paper implementation.

My Implementations' Archive

ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining

Attention is all you need implementation

Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]

Language to Language Transformer model where i used my transformer model for translation task. from the paper "Attention is all you Need" 2017 using pytorch.

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