Aleksa Gordić (@gordicaleksa)

Top repositories

1

pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
Jupyter Notebook
2,253
star
2

pytorch-original-transformer

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
Jupyter Notebook
880
star
3

get-started-with-JAX

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
Jupyter Notebook
546
star
4

pytorch-GANs

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
Python
366
star
5

Open-NLLB

Effort to open-source NLLB checkpoints.
Python
364
star
6

pytorch-deepdream

PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.
Jupyter Notebook
352
star
7

pytorch-neural-style-transfer

Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.
Python
343
star
8

stable_diffusion_playground

Playing around with stable diffusion. Generated images are reproducible because I save the metadata and latent information. You can generate and then later interpolate between the images of your choice.
Python
203
star
9

pytorch-learn-reinforcement-learning

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.
Python
140
star
10

pytorch-neural-style-transfer-johnson

Reconstruction of the fast neural style transfer (Johnson et al.). Some portions of the paper have been improved by the follow-up work like the instance normalization, etc. Checkout transformer_net.py's header for details.
Python
110
star
11

serbian-llm-eval

Serbian LLM Eval.
Python
81
star
12

pytorch-naive-video-neural-style-transfer

Create naive (no temporal loss) NST for videos with person segmentation. Just place your videos in data/, run and you get your stylized and segmented videos.
Python
73
star
13

OpenGemini

Effort to open-source 10.5 trillion parameter Gemini model.
17
star
14

gordicaleksa

GitHub's new feature: repo with the same name as your GitHub name initialized with README.md will show on your landing page!
12
star
15

digital-image-processing

Projects I did for the Digital Image Processing course on my university
MATLAB
7
star
16

streamlit_playground

Simple Streamlit app.
Python
4
star
17

Open-NLLB-stopes

A library for preparing data for machine translation research (monolingual preprocessing, bitext mining, etc.) for the Open-NLLB effort.
Python
3
star
18

MachineLearningMicrosoftPetnica

Problems I solved for Microsoft ML summer camp in Petnica, Serbia
C++
3
star
19

competitive_programming

Contains algorithms and snippets I found useful when solving problems for TopCoder, Google Code Jam etc.
C++
2
star
20

slovenian-llm-eval

Slovenian LLM Eval.
Python
2
star
21

MicrosoftBubbleCup2018

My solutions for Bubble Cup 2018
C++
1
star
22

.dotfiles

Configuration files for my vim editor, bash etc.
Shell
1
star
23

GoogleCodeJam2018

My solutions for Google Code Jam 2018
C++
1
star