Pinned Repositories
bert
TensorFlow code and pre-trained models for BERT
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
keras
Deep Learning for humans
buddhabrot
Basic buddhabrot fractal rendering in Python using multiprocessing and Python Image Library
machine_learning_adversarial_examples
An implementation of the 'fast gradient sign method' from the paper 'Explaining and Harnessing Adversarial Examples'
machine_learning_denoising
A Keras implementation of the "Deep Image Prior" paper.
machine_learning_mandelbrot_neural_network
A training of various neural networks to approximate the mandelbrot fractal image.
NVSM_pytorch
PoC of the "Neural Vector Space Model" on a bunch of wikipedia articles.
talk-slides
Slides (with LaTeX files) of the various talks I give (ML / DL / fun with coding)
teaching
rodgzilla's Repositories
rodgzilla/teaching
rodgzilla/talk-slides
Slides (with LaTeX files) of the various talks I give (ML / DL / fun with coding)
rodgzilla/NVSM_pytorch
PoC of the "Neural Vector Space Model" on a bunch of wikipedia articles.
rodgzilla/machine_learning_deep_knn
Experiments with deep learning interpretability based on "Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning" (https://arxiv.org/abs/1803.04765)
rodgzilla/pytorch-pretrained-BERT
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
rodgzilla/machine_learning_intent_classification
rodgzilla/machine_learning_pytorch_deep_image_prior
Implementation of the denoising part of the "Deep Image Prior" paper in PyTorch. This implementation is also available as a Google Colaboratory notebook.
rodgzilla/pytorch-openai-transformer-lm
A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI
rodgzilla/random_projection_experiment
Experiments with random projection for similarity measurement and Johnson-Linderstrauss lemma.
rodgzilla/Google-colab-and-drive-utils
A set of tools to fetch files from google drive from google colab
rodgzilla/2048
rodgzilla/awesome-creative-coding
Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.
rodgzilla/bert
TensorFlow code and pre-trained models for BERT
rodgzilla/cantor-remix_MX
cantor-remix mx version
rodgzilla/combine_cbz_files
rodgzilla/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
rodgzilla/image_gluing
gluing images to form a bigger picture
rodgzilla/machine_learning_basic_examples
Basic machine learning tasks.
rodgzilla/machine_learning_horoscope
rodgzilla/minimal_differential_privacy
A very small and simple example of differential privacy.
rodgzilla/neural_shader
PoC of adding simple neural networks in GLSL shaders.
rodgzilla/notebook_sharing
rodgzilla/pet
This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"
rodgzilla/pineapple_ofc_ai
rodgzilla/project-euler
My solutions to the project euler problems.
rodgzilla/rodgzilla
rodgzilla/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
rodgzilla/StyleCLIP
rodgzilla/transformer_network_horoscope
Horoscope generation using the transformer architecture
rodgzilla/ultimate_tic_tac_toe_monte_carlo