Aleksa Gordić

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.

Open-NLLB. Effort to open-source NLLB checkpoints.

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.

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-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.

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.

digital-image-processing. Projects I did for the Digital Image Processing course on my university

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

llm.c. LLM training in simple, raw C/CUDA

slovenian-llm-eval. Slovenian LLM Eval.

MachineLearningMicrosoftPetnica. Problems I solved for Microsoft ML summer camp in Petnica, Serbia

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

gans. Generative Adversarial Networks implemented in PyTorch and Tensorflow

OpenFace. OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

stable-diffusion. Jupyter Notebook

fast.cu. Fastest kernels written from scratch

metaseq. Fork that goes with my YT video.

awesomeMLSys. An ML Systems Onboarding list

competitive_programming. Contains algorithms and snippets I found useful when solving problems for TopCoder, Google Code Jam etc.

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

streamlit_playground. Simple Streamlit app.

java-algorithms-implementation. Algorithms and Data Structures implemented in Java

jina. Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data

examples. A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

first-order-model. This repository contains the source code for the paper First Order Motion Model for Image Animation

DeepDreamVideo. implementing deep dream on video

opencv. Open Source Computer Vision Library

neural-style. Neural style in TensorFlow! 🎨

.dotfiles. Configuration files for my vim editor, bash etc.

MicrosoftBubbleCup2018. My solutions for Bubble Cup 2018

airoboros. Customizable implementation of the self-instruct paper.

api-design. LivingSocial API Design Guide

axolotl. axolotl

GoogleCodeJam2018. My solutions for Google Code Jam 2018

gpt-2-output-dataset. Dataset of GPT-2 outputs for research in detection, biases, and more