Pinned Repositories
algorithms_py
Stanford specialization
aqueduct
Framework for create performance-efficient prediction
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
challengeCognateFF
Cheat_Sheets
Cheat sheets for stats/ML/SP/DM
clean-code-python
:bathtub: Clean Code concepts adapted for Python
Computer_Algorithms_Project
Credit-Binary-Scoring
darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Data-Structure-Project
Car detail's changing using graph, linked list, queu and stack
djanibekov's Repositories
djanibekov/algorithms_py
Stanford specialization
djanibekov/aqueduct
Framework for create performance-efficient prediction
djanibekov/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
djanibekov/challengeCognateFF
djanibekov/Cheat_Sheets
Cheat sheets for stats/ML/SP/DM
djanibekov/clean-code-python
:bathtub: Clean Code concepts adapted for Python
djanibekov/Computer_Algorithms_Project
djanibekov/Credit-Binary-Scoring
djanibekov/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
djanibekov/Data-Structure-Project
Car detail's changing using graph, linked list, queu and stack
djanibekov/nlp703-speech-processing
djanibekov/Data_Preprocessing_in_Python
Программный код к книге "Предварительная подготовка данных в Python"
djanibekov/datasciencecoursera
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
djanibekov/deeplearning-notes
Notes for Deep Learning Specialization Courses led by Andrew Ng.
djanibekov/Diffusion-Project
In this project, we propose a system to generate illustrations for paragraphs from the books in a specific style based on their genres. The pipeline of the system consists of 3 main parts: knowledge distillation-based information retrieval model to summarize a given paragraph, a cluster model to figure out the genre, and fine-tuned stable diffusion
djanibekov/EMNLP-2023-Papers
EMNLP 2023 Papers: Explore cutting-edge research from EMNLP 2023, the premier conference for advancing empirical methods in natural language processing. Stay updated on the latest in machine learning, deep learning, and natural language processing with code included. :star: support NLP!
djanibekov/LegalEval
Shared Task
djanibekov/Library-Management-System
djanibekov/Machine_Learning_Tutorials
Code, exercises and tutorials of my personal blog ! 📝
djanibekov/mipt_oop
MIPT Coursera Course
djanibekov/nlp702
djanibekov/photo-samples
djanibekov/Practical_RL
A course in reinforcement learning in the wild
djanibekov/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
djanibekov/Python3Specialization
Grading codes
djanibekov/pythonanything
djanibekov/pytorch-examples
Simple examples to introduce PyTorch
djanibekov/seacrowd-datahub
A collaborative project to collect datasets in SEA languages, SEA regions, or SEA cultures.
djanibekov/stable-diffusion
djanibekov/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.