Nataliia Timoshyna's starred repositories
generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
compling_nlp_hse_course
Материалы курса по компьютерной лингвистике Школы Лингвистики НИУ ВШЭ
LightAutoML
LAMA - automatic model creation framework
Summarize-Dialogue-Using-Generative-AI
Generating a summary of a dialogue with the pre-trained Large Language Model (LLM) FLAN-T5 from Hugging Face, and performing prompt engineering to enhance the generative output of Large Language Models.
Free-Certifications
A curated list of free courses & certifications.
DeepPavlov
An open source library for deep learning end-to-end dialog systems and chatbots.
RuLeanALBERT
RuLeanALBERT is a pretrained masked language model for the Russian language that uses a memory-efficient architecture.
Interactive_Tools
Interactive Tools for Machine Learning, Deep Learning and Math
flash-attention
Fast and memory-efficient exact attention
bert_score
BERT score for text generation
TensorRT-LLM
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
Practical_RL
A course in reinforcement learning in the wild
Adan-pytorch
Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch
natural-language-processing
Natural Language Processing course for MSAI program
Machine-Learning-from-Scratch
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
ml-course-hse
Машинное обучение на ФКН ВШЭ
nlp_course
YSDA course in Natural Language Processing
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
NLP-with-LLMs
Natural Language Processing with Large Language Models
albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125