Dariusz Kajtoch's repositories
glove_streamlit
Demonstration project of using Streamlit with word embeddings.
Boson-Gutzwiller
Ground state of the Gutzwiller wavefunction for one- and two-component Bose-Hubbard model
adaptive-inertia-adai
The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our ICML2020 Long Oral paper: "Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum".
awesome-nlp-polish
A curated list of resources dedicated to Natural Language Processing (NLP) in polish. Models, tools, datasets.
Data-Science-Projects
Collection of Data Science Projects
embeddings
Embeddings: State-of-the-art Text Representations for Natural Language Processing tasks, an initial version of library focus on the Polish Language
guidance
A guidance language for controlling large language models.
LEPISZCZE
This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish
LinuxConfigurationFiles
Personal configuration files
Machine-Learning-Tutorials
Personal material on Machine Learning
langchain
⚡ Building applications with LLMs through composability ⚡
matplotblog
Matplotlib blog
pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
pytorch-lightning-gcp-project-template
Repository template for pytorch-lightning based projects run on GCP
pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
scrapy-exception-bypass
Temporary fix to limited functionality of Scrapy Downloader
scrapy-redirect
Scrapy redirect middleware
sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
setfit
Efficient few-shot learning with Sentence Transformers
StrangeAttractor
Generate images of strange attractor
torchx
TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.