Pinned Repositories
amazon-sagemaker-notebook-instance-lifecycle-config-samples
A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations
awesome-ai-residency
List of AI Residency Programs
Awesome-LLM-Reasoning
Collection of papers and resources on Reasoning in Language Models (LLMs), including Chain-of-Thought (CoT), Instruction-Tuning, and Multimodality.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
bigtarget_barcode
1️⃣-st place solution of [BIGTARGET] Lenta and Microsoft hackathon
CodeDescriber.jl
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.
every-programmer-should-know
A collection of (mostly) technical things every software developer should know
Kinetic-Monte-Carlo-simulation
MNLubov's Repositories
MNLubov/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.
MNLubov/amazon-sagemaker-notebook-instance-lifecycle-config-samples
A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations
MNLubov/awesome-ai-residency
List of AI Residency Programs
MNLubov/Awesome-LLM-Reasoning
Collection of papers and resources on Reasoning in Language Models (LLMs), including Chain-of-Thought (CoT), Instruction-Tuning, and Multimodality.
MNLubov/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
MNLubov/CodeDescriber.jl
MNLubov/HardML
Projects completed during HardML course from Karpov Courses
MNLubov/ml-course-hse
Машинное обучение на ФКН ВШЭ
MNLubov/mlcourse.ai
Open Machine Learning Course
MNLubov/HNSW.jl
Approximate Nearest Neighbor Searches using the HNSW algorithm
MNLubov/hse_mlds_deep_learning_course
MNLubov/iad-deep-learning
Курс "Современные методы машинного обучения" на майноре ИАД
MNLubov/linear_mem_attention_pytorch
Unofficially Implements https://arxiv.org/abs/2112.05682 to get Linear Memory Cost on Attention for PyTorch
MNLubov/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
MNLubov/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
MNLubov/moskow-city-hack21
Командный репозиторий для проекта
MNLubov/open-llms
📋 A list of open LLMs available for commercial use.
MNLubov/PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
MNLubov/phrase-bert-topic-model
Phrase BERT
MNLubov/pipefunc
Lightweight function pipeline (DAG) creation in pure Python for scientific workflows 🕸️🧪
MNLubov/Python-Machine-Learning
Tutorials on Machine Learning and Deep Learning with Python
MNLubov/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
MNLubov/qmlcourse
Quantum Machine Learning Community Course
MNLubov/RG-Flow
This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029
MNLubov/RicercaMente
Open source project that aims to trace the history of data science through scientific research published over the years
MNLubov/Semi-Supervised-BERT-NER
MNLubov/simple-bash-scripts
A collection of simple Bash scripts
MNLubov/system-design
Learn how to design systems at scale and prepare for system design interviews
MNLubov/Transformers.jl
Julia Implementation of Transformer models
MNLubov/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs