adam-dziedzic
I'm a researcher, engineer, software developer, and systems designer. I have a passion for machine/deep learning,technology, databases, traveling, sport & music
The University of Toronto & Vector InstituteToronto
Pinned Repositories
2018-n7-CRUG-PUG
adam-dziedzic.github.io
Adam Dziedzic's personal website.
bandlimited-cnns
Band-limited Training and Inference for Convolutional Neural Networks
battleShips
BattleShips
homework
Assignments for CS294-112.
kshape
Python implementation of k-Shape with GPU support via PyTorch
winograd
Implementation of the Winograd algorithm.
bigdawg
A polystore database from researchers of the Intel Science and Technology Center for Big Data
tutorials
PyTorch tutorials.
adam-dziedzic's Repositories
adam-dziedzic/bandlimited-cnns
Band-limited Training and Inference for Convolutional Neural Networks
adam-dziedzic/adam-dziedzic.github.io
Adam Dziedzic's personal website.
adam-dziedzic/awesome-ml-privacy-attacks
An awesome list of papers on privacy attacks against machine learning
adam-dziedzic/capc-demo
capc-demo
adam-dziedzic/materials
Bonus materials, exercises, and example projects for our Python tutorials
adam-dziedzic/private-transformers
Make differentially private training of transformers easy
adam-dziedzic/albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
adam-dziedzic/B4B
adam-dziedzic/bloom_filters
adam-dziedzic/DatasetInferenceForSelfSupervisedModels
adam-dziedzic/Differentially-Private-Fine-tuning-of-Language-Models
adam-dziedzic/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
adam-dziedzic/DP-OPT
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
adam-dziedzic/entropy_estimators
Estimators for the entropy and other information theoretic quantities of continuous distributions
adam-dziedzic/erc_template
ERC Proposal template (StG, CoG, AdG)
adam-dziedzic/federated
A collection of Google research projects related to Federated Learning and Federated Analytics.
adam-dziedzic/GaNDLF-1
A generalizable application framework for segmentation, regression, and classification using PyTorch
adam-dziedzic/GaussianDistillation
Data-free knowledge distillation using Gaussian noise (NeurIPS paper)
adam-dziedzic/imagenet-fast
adam-dziedzic/imagenet18
Code to reproduce "imagenet in 18 minutes" experiments
adam-dziedzic/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
adam-dziedzic/mkultra
Prompt tuning toolkit for GPT-2 and GPT-Neo
adam-dziedzic/ml-swissknife
My ML research codebase
adam-dziedzic/MML-Book
Code / solutions for Mathematics for Machine Learning (MML Book)
adam-dziedzic/P-tuning
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
adam-dziedzic/P-tuning-v2
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
adam-dziedzic/PrefixTuning
Prefix-Tuning: Optimizing Continuous Prompts for Generation
adam-dziedzic/private_prompt
adam-dziedzic/SAT-selective-cls
Self-Adaptive Traning for Selective Classification.
adam-dziedzic/simsiam
PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566