Igor Tarlinskiy's Projects
Тестовое задание. ABBYY
Explore, analyse and visualise Betfair Historical Data Feed using PySpark.
Easily compute clip embeddings and build a clip retrieval system with them
A high-performance, zero-overhead, extensible Python compiler using LLVM
📉 Hand drawing style charts library for Python
vendor independent deep learning library, compiler and inference framework microcomputers and micro-controllers
ConvNet learns to play Need For Speed
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt
A simple way to demo Flask apps from your machine.
:mag: Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.
python powered Intelligent System
Messaging library for Python.
OpenAI CLIP text encoders for multiple languages!
Easy-to-use library to boost AI inference leveraging multiple DL compilers
Notebooks using the Hugging Face libraries 🤗
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.