Name: Richard Csaky
Type: User
Company: University of Oxford
Bio: Developing machine learning methods for electrophysiology @ Sonera. Obtained PhD @ Oxford in modelling and decoding noninvasive brain signals with deep learning
Twitter: ricsinaruto
Location: Oxford
Blog: https://ricsinaruto.github.io
Richard Csaky's Projects
Java basic learning projects
Simple Android chatbot app
Evaluate your dialog model with 17 metrics! (see paper)
A proof-of-concept real-time silent speech BCI using EMG electrdes
Build a dialog dataset from online books in many languages
A high performance implementation of HDBSCAN clustering.
Hill climbing algorithms and simple applications on functions
Image processing and neural network projects in Matlab
Train Wavenet-based group-level models on MEG data, and uncover neuroscientifically interpretable information.
Explore the differences between sliding window and full-epoch models on MEG data and use PFI to uncover neuroscientific insights.
Natural language projects, mainly just word counting and sorting algorithms
Filter dialog data with a simple entropy-based method (see ACL paper)
✍️ A carefully curated list of NLP paper summaries
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
A very simple 3D platformer game done with Opengl. (Stay on the platform, and jump to get more points!)
Simple processing demos, check some of them on my website
3D visualization and simulation program for proteins, check paper link
Python projects spanning from deep learning to nlp
The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
https://ricsinaruto.github.io/
A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.
A collection of service-orinted homework projects
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Old website repo