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Name: Nikita Sobur
Type: User
Bio: Mostly interested in ML/DL. If you are looking for a Machine Learning engineer or Python developer write to me in a Telegram.
Location: Ukraine
Name: Nikita Sobur
Type: User
Bio: Mostly interested in ML/DL. If you are looking for a Machine Learning engineer or Python developer write to me in a Telegram.
Location: Ukraine
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A curated list of the most impressive AI papers
A curated list of deep learning resources for computer vision
A collection of resources and papers on Diffusion Models
A curated list of awesome Deep Learning (DL) for Natural Language Processing (NLP) resources
:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Reinforcement learning resources curated
A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
Solutions of the homeworks by blockchain course
Материалы курса по компьютерной лингвистике Школы Лингвистики НИУ ВШЭ
A technical report on convolution arithmetic in the context of deep learning
Diffusion model papers, survey, and taxonomy
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
This repository is created for my implementations and experiments of GANs models and its variants
Учебное пособие по защите информации кафедры радиотехники и систем управления МФТИ
Explanation to key concepts in ML
We are going to build ml model for time series forecasting.
Here I will publish my developments in Machine learning area.
This repository contains my projects that I do just for fun and programming practice in different languages.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
YSDA course in Natural Language Processing
This repository contains some implementations of optimization theory algorithms.
📖 Paper reading list in dialogue systems and natural language generation (constantly updating 🤗).
This repository contains several projects with some physical models.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Materials of transformers lecture course
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.