adam-dziedzic Goto Github PK

julius

Fast PyTorch based DSP for audio and 1D signals

kshape

Python implementation of k-Shape with GPU support via PyTorch

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

manifold-defense

materials

Bonus materials, exercises, and example projects for our Python tutorials

maven-examples

melange

mkultra

Prompt tuning toolkit for GPT-2 and GPT-Neo

ml-swissknife

My ML research codebase

mml-book

Code / solutions for Mathematics for Machine Learning (MML Book)

monetdb-postgres-compare

MonetDB/Postgres-Comparision

multilabelclassifier

Multi-label Classification using PyTorch on the CelebA dataset.

multirobustness

Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019

mvn-repo

The maven repository.

nattack

nlp-robustness-1

OOD Generalization and Detection (ACL 2020)

nn_robust_attacks

Robust evasion attacks against neural network to find adversarial examples

obfuscated-gradients

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

openai-gemm

Open single and half precision gemm implementations

outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

p-tuning

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

p-tuning-v2

An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

pixeldp

prefixtuning

Prefix-Tuning: Optimizing Continuous Prompts for Generation

private-transformers

Make differentially private training of transformers easy

private_prompt

py-motmetrics

:bar_chart: Benchmark multiple object trackers (MOT) in Python

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-adversarial-training

PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.