PhD student in machine learning at the University of Tübingen.
python-katas. Short exercises in Python.
11ivr-synsets. Using Polish wordnet to build expanded synsets for an IVR system.
7idsprites. Easily generate continual learning benchmarks.
7disco. Disentangled Continual Learning
4twitter-sentiment. Sentiment analysis of tweets
3data-science-cheatsheet. Common patterns I use, mostly for data visualisation.
2db2arff. Generates an Atribute-Relation File from data collected with the AWARE framework and stored in a MySQL database.
2movable-type. Playing around with texts from Project Gutenberg.
2collocations. Building dictionaries of verb-noun collocations for automatic speech recognition of Polish.
2hate-tweet. Detecting hate speech in tweets using bag-of-trick models and bi-LSTM networks.
2pocket-stats. An analysis of articles in my Pocket
2mock-reduce. Practicing MapReduce programming model on small datasets using a mock MR Python library.
2helm. Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in Holistic Evaluation of Text-to-Image Models (HEIM) (https://arxiv.org/abs/2311.04287).
2dualprompt-pytorch. PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
1openai-api-playground. Playing with the OpenAI API
1opencompass. OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
1wild-llamas. Merging finetuned language models in the wild.
1l2p-pytorch. PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22
1model-soups. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
1seguidora. DoRA with a tracking oracle.
1onebench. Sample-Level Benchmarking Over Open-Ended Capabilities
1hvae. Exploring hierarchical VAEs for generative replay.
1thesis-scripts. Miscellaneous scripts and utilities for my master's thesis.
1python-pocket. A Python wrapper around the Pocket API.
1pokemon-recognition. Using deep learning to recognise Pokemons
1configs. My configs for vim, tmux, zsh etc.
1appearance-flow. A deep learning framework for synthesizing novel views of objects and scenes
1klaster_sim. Shell
1cv. My résumé
1homomorphic-estimation. Estimation of the variable map of noise out of SENSE magnetic resonance data using a homomorphic approach.
1thesis. Master's Thesis
1mammoth. An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
1project-euler. Solution to problems from Project Euler.
1pydata-warsaw-2017. Slides from PyDataWarsaw 2017
1rolling-stone. 60 years of Bob's Songs
1UnsupervisedGeometryAwareRepresentationLearning. Unsupervised Geometry-Aware Representation Learning for 3D Human Pose Estimation (ECCV 2018)
1learning-deep-learning. Learning Keras and TensorFlow by building simple models
1PyKinect2. Wrapper to expose Kinect for Windows v2 API in Python
1image_search. Python Library to download images and metadata from popular search engines.
1sebastiandziadzio.github.io. Personal website
1nvae. An unofficial toy implementation for NVAE
1clrs. Implementing algorithms from the Introduction to Algorithms (CLRS).
1Multiview2Novelview. An official TensorFlow implementation of "Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence" (ECCV 2018) by Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, and Joseph J. Lim
1stl-workshop. Examples and exercises from an STL workshop.
1rprogramming. Code from various R programming courses.
1functional-programming. Haskell
1nerfies. This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.
1telemetry-server. Server for the Mozilla Telemetry project
1redi-python-intro. HTML
1algorithm-design. Exercises from "Algorithms: Design and Analysis", an online course on Coursera.
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