gordicaleksa

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.

llm.c

LLM training in simple, raw C/CUDA

Open-NLLB

Effort to open-source NLLB checkpoints.

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.

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-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

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-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.

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.

gordicaleksa/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!

gordicaleksa/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.

gordicaleksa/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.

gordicaleksa/Open-NLLB

Effort to open-source NLLB checkpoints.

gordicaleksa/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.

gordicaleksa/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.

gordicaleksa/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.

gordicaleksa/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.

gordicaleksa/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.

gordicaleksa/serbian-llm-eval

Serbian LLM Eval.

gordicaleksa/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.

gordicaleksa/OpenGemini

Effort to open-source 10.5 trillion parameter Gemini model.

gordicaleksa/gordicaleksa

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

gordicaleksa/slovenian-llm-eval

Slovenian LLM Eval.

gordicaleksa/stable-diffusion

gordicaleksa/llm.c

LLM training in simple, raw C/CUDA

gordicaleksa/Open-NLLB-stopes

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

gordicaleksa/streamlit_playground

Simple Streamlit app.

gordicaleksa/awesomeMLSys

An ML Systems Onboarding list

gordicaleksa/metaseq

Fork that goes with my YT video.

gordicaleksa/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

gordicaleksa/jina

Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data

gordicaleksa/airoboros

Customizable implementation of the self-instruct paper.

gordicaleksa/axolotl

axolotl

gordicaleksa/datasketch_threadsafe

gordicaleksa/gpt-2-output-dataset

Dataset of GPT-2 outputs for research in detection, biases, and more

gordicaleksa/micrograd

The Autograd Engine that implements backpropagation

gordicaleksa/mlp

The Multilayer Perceptron Language Model

gordicaleksa/ngram

The n-gram Language Model

gordicaleksa/tensor

The Tensor (or Array)