NikolaySimakov
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Lists (15)
👨💻 Backend
FastAPI, Django, Node.js, Go🤪 Bizarre Repositories
Here is a list of repositories that I found bizarre🔐 Blockchain
Learning solidity🤖 Bots
Telegram, Discord, Slack bots🥇 Contests
Yandex, Tinkoff, etc.📊 Data Science
ML & DL & etc.💻 Desktop
📈 Finance
🖥️ Frontend
Vue, React | HTML, CSS, JS🔮 Future ideas
🧠 Learning
Computer Science theory, questions from interviews, features of programming languages📱 Mobile
Swift, Kotlin, Flutter🌍 Realworld
Examples of realworld projects📊 Statistics
🧪 Testing
Stars
Financial Markets Data Visualization using Matplotlib
Examples of PyMC models, including a library of Jupyter notebooks.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
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Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering
Official Implementation for "In-Context Reinforcement Learning for Variable Action Spaces"
Vue Dashboard - Open-Source and Free | Admin-Dashboards.com
Python3 API connector for Bybit's HTTP and Websockets APIs.
StyleGAN - Official TensorFlow Implementation
A Python package for causal inference in quasi-experimental settings
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
In this repository, I have implemented various models that transform words and texts into embeddings: Word2Vec, GloVe, FastText, ELMo, and Transformers. Additionally, modifications of these models …
High-Resolution Image Synthesis with Latent Diffusion Models
📈 Fama French and ML models on S&P 500 dataset
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The Python ensemble sampling toolkit for affine-invariant MCMC
Spring Boot + Security: Token Based Authentication example with JWT, Authorization, Spring Data & MySQL
Финальный проект из 4 этапов: endpoint, рекомендательная система постов в социальной сети, рекомендательная система с помощью Deep Learning, A/B эксперимент на сравнение двух рекомендательных систем
Bayesian Generalized Linear Models with Time-Varying Coefficients
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