Aleksa Gordić's repositories
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!
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.
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.
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.
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.
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.
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.
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.
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.
serbian-llm-eval
Serbian LLM Eval.
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.
OpenGemini
Effort to open-source 10.5 trillion parameter Gemini model.
gordicaleksa
GitHub's new feature: repo with the same name as your GitHub name initialized with README.md will show on your landing page!
Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
streamlit_playground
Simple Streamlit app.
first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
fsdl-text-recognizer-2022
Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs
Open-NLLB-stopes
A library for preparing data for machine translation research (monolingual preprocessing, bitext mining, etc.) for the Open-NLLB effort.
slovenian-llm-eval
Slovenian LLM Eval.
axolotl
axolotl
gpt-2-output-dataset
Dataset of GPT-2 outputs for research in detection, biases, and more