krell11
21 y.o., Python (Machine Learning, Data Science) | Applied Mechanics student at SPBPU
Saint-Petersburg, Russia
krell11's Stars
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
SimplifyJobs/Summer2025-Internships
Collection of Summer 2025 tech internships!
karpathy/LLM101n
LLM101n: Let's build a Storyteller
invoke-ai/InvokeAI
Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.
recommenders-team/recommenders
Best Practices on Recommendation Systems
UKPLab/sentence-transformers
State-of-the-Art Text Embeddings
hongleizhang/RSPapers
A Curated List of Must-read Papers on Recommender System.
PipelineAI/pipeline
PipelineAI
vsitzmann/awesome-implicit-representations
A curated list of resources on implicit neural representations.
cerlymarco/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
sb-ai-lab/LightAutoML
Fast and customizable framework for automatic ML model creation (AutoML)
idrl-lab/PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
HKUDS/LLMRec
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
onlyphantom/cvessentials
Tutorial Series (60 hour course): Essentials of computer vision
alexpapados/Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics
Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems
RedisAI/vecsim-demo
Explore vector similarity in Redis
samxuxiang/hnc-cad
[ICML 2023] Official PyTorch Implementation of "Hierarchical Neural Coding for Controllable CAD Model Generation".
xzb030/IMG_Survey
aaalexlit/faq-slack-bot
LLM-powered RAG Question Answering Slack bot for DataTalksClub Zoomcamps
FuhgJan/StateOfTheArtAdaptiveSampling
arvindmohan/LSTM_ROM_Arxiv
A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269
EIDiamond/invest-bot
Trading bot based on Tinkoff Invest gRPC API
farazarbabi/CNN_FEM
In this project I use the generated dataset of stress analysis results of FVM method to train a Convolutional Neural Netwrok (CNN) model and predict stress distribution over the plate for uncalculated forces.
kfukami/CNN-SINDy-MLROM
Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.
baoshiaijhin/amgnet
Lawrence-Krukrubo/Building-a-Content-Based-Movie-Recommender-System
Applying Content-Based filtering and Matrix-Algebra to build a Movie-Recommender-System in Pandas
stefaniafresca/DL-ROM-Meth
Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10915-021-01462-7.
data42lana/end-to-end-cv-mlops-project
The end-to-end computer vision (object detection) project with MLOps, including a model training pipeline/workflow, an API, and an application for detecting and counting house sparrows in a photo.
adinarad/IK-3LinkManipulator-NN
Solving the inverse kinematics problem of a 3 Link Planar Manipulator using neural networks.
SvenL13/GALE
A Python Library for Global Adaptive Learning