stanislavfort

exploring_the_limits_of_OOD_detection

Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection (https://arxiv.org/abs/2106.03004) by Stanislav Fort, Jie Ren, Balaji Lakshminarayanan, published at NeurIPS 2021.

gaussian-prototypical-networks

Gaussian prototypical network architecture for few-shot learning

dissect-git-re-basin

Replicating and dissecting the git-re-basin project in one-click-replication Colabs

OpenAI_CLIP_adversarial_examples

Developing adversarial examples and showing their semantic generalization for the OpenAI CLIP model (https://github.com/openai/CLIP)

adversaries_to_convnext

Adversarial examples to the new ConvNeXt architecture

adversaries_to_OOD_detection

multi-attacks

Replicating the basic adversarial multi-attack experimental results

ulam-spiral

The Ulam prime spiral generator

hilbert-curves

Generating 3D Hilbert curves

slice-dice-optimize

Code to replicate the key findings of the paper /What does a deep neural network confidently perceive? The effective dimension of high certainty class manifolds and their low confidence boundaries/

Data-Visualization

A collection of tips and tricks for data visualization in Python.

ensemble-landscape-cuts

Reproducing plots and loss landscape cuts from the paper *Deep Ensembles: A Loss Landscape Perspective* (https://arxiv.org/abs/1912.02757)

markov_language_model

A character-level probabilistic language generator based on Markov chains

singular-value-modified-training-for-fun

Training DNNs on data with singular values removed / kept, testing on similarly modified test sets

classical_implementation_grovers_algorithm

A classical (non-quantum) implementation of the Grover's algorithm (quantum)

deepPylos

Deep reinforcement learning for the board game Pylos

GettingStarted

...with git and GitHub

initialization-optimum-connectivity-experiments

Assorted experiments to verify the connectivity of DNN initializations to optima in the weight space

fast_template

A template for really easy blogging with GitHub Pages

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

stanislavfort.github.io

A research blog on machine learning, artificial intelligence and physics

vision_transformer

BootCamp

Annual computing Boot Camp for new (and other) KIPAC members

LLM-for-images

An example of a large language model finetuning on MNIST and CIFAR-10

making-byteformer-work

Trying to make the Apple Byteformer work

resume

Software developer resume in Latex

tensorflow

Computation using data flow graphs for scalable machine learning