-
TBank
- Moscow
Stars
[NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ult…
Design Pattern Examples in Python
🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".
Running large language models on a single GPU for throughput-oriented scenarios.
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
Preprocessing of the dataset of 347 subtitles for the TV series (thanks to Taiga Corpus) to build a word2vec model, JamSpell model, neural network training, chat bot training or in any other NLP task.
Simple Python package for breaking Russian words into syllables
Pipeline for easy fine-tuning of BERT architecture for sequence classification
Материалы курса по компьютерной лингвистике Школы Лингвистики НИУ ВШЭ
Tools for shrinking fastText models (in gensim format)
Курс по машинному обучению для магистров компьютерной лингвистики 1-го курса в Высшей Школе Экономики