NijatZeynalov

ML Engineer

Azerconnect LLCAzerbaijan

Pinned Repositories

advanced-hyperparameter-optimization-techniques
HalvingGridSearch, HalvingRandomSearch, Bayesian Optimization, Keras Tuner, Hyperband optimization
Language:Jupyter Notebook4 1 01
automate-web-scraping-send-whatsapp-alert-with-aws
Scraping Azerbaijani real estate website and sending whatsapp message with AWS Lambda function that automatically triggered by Amazon CloudWatch.
Language:Python6 1 00
azcorpus_v0
azcorpus - The largest NLP corpus for Azerbaijani (1.9M documents, ~ 18M sentences)
4 0 01
AzVoiceSent
AzVoiceSent is research project focused on sentiment classification from voice transcriptions in Azerbaijani. The project has the potential to provide valuable insights into the sentiment expressed by speakers in various domains and applications.
5 1 00
Easy-Recipes-bot
This telegram bot will find easy recipes in Azerbaijani using ingredients you already have in the kitchen.
Language:Jupyter Notebook4 1 01
image_to_handwriting_az
This project allows you to convert image into Azerbaijani handwriting
Language:Python34 1 03
mgpt-az-streamlit
This project is a Streamlit app that uses the mGPT-XL (1.3B) model to generate Azerbaijani text. Users can input partial text, and the model will complete it with contextually relevant text in Azerbaijani.
Language:Python9 1 01
New-product-demand-forecasting-via-Content-based-learning-for-multi-branch-stores
New product demand forecasting via Content based learning for multi-branch stores: Ali and Nino Use Case
Language:Python15 1 11
Norvig-s-Spell-Checker-Algorithm-for-Azerbaijani-Language
The purpose of this project is to prepare a spell checker for Azerbaijani language by implementing a Azerbaijani corpus to Norvig’s algorithm. The corpus I created consists of 1478667 words collected from 47 books in 6 fields (biology, geography, detective, literature, encyclopedia, novel)
Language:Jupyter Notebook6 2 00
Satellite-images-to-real-maps-with-Deep-Learning
In this project, I developed a Pix2Pix generative adversarial network for image-to-image translation. I have used the so-called maps dataset used in the Pix2Pix paper.
Language:Python26 1 08

NijatZeynalov's Repositories

NijatZeynalov/Adversarial-Robustness-Testing-Framework
Language:Python
NijatZeynalov/AI-Powered-Sports-Commentary-Generator
Language:Python
NijatZeynalov/Balanced-Persuasion-Training-for-LLMs
Language:Python
NijatZeynalov/Context-Expansion-Techniques-for-Large-Language-Models
Language:Python
NijatZeynalov/Contextual-Document-Embedding-for-Neural-Retrieval
Language:Python
NijatZeynalov/Directed-Acyclic-Graph-Based-Reasoning-Framework-for-LLMs
Language:Python
NijatZeynalov/Dynamic-PII-Masking-Tool
Language:Python
NijatZeynalov/Dynamic-Reasoning-Optimization-Framework-for-Language-Models
Language:Python
NijatZeynalov/Dynamic-Safety-Controller
Language:Python
NijatZeynalov/Gated-Slot-Attention-for-Efficient-Sequence-Modeling
Language:Python
NijatZeynalov/Hierarchical-Memory-and-Retrieval-Framework
Language:Python
NijatZeynalov/Instruction-Driven-Information-Retrieval-System
Language:Python
NijatZeynalov/Intrinsic-Hallucination-Detector
Language:Python
NijatZeynalov/Iterative-Preference-Learning-Framework-for-Mathematical-Problem-Solving
Language:Python
NijatZeynalov/LLM-Introspection-and-Self-Prediction-Project
Language:Python
NijatZeynalov/LLM-Matrix-Nuclear-Norm-Evaluator
Language:Python
NijatZeynalov/Meta-Chunking-for-Efficient-Text-Segmentation-in-Question-Answering-Systems
Language:Python
NijatZeynalov/Mitigating-Gradient-Entanglement-in-Language-Model-Alignment
Language:Python
NijatZeynalov/Model-Kinship-based-Merging-Framework-for-Large-Language-Models
Language:Python
NijatZeynalov/Optimized-Inference-for-Long-Prompt-Tasks
Language:Python
NijatZeynalov/Preference-Modeling-for-Language-Model-Alignment
Language:Python
NijatZeynalov/Privacy-Policy-Enforcement-Engine
Language:Python
NijatZeynalov/Real-Time-Multilingual-Conference-Assistant
Language:Python
NijatZeynalov/Selective-Concept-Removal-Framework-for-LLMs
Language:Python
NijatZeynalov/Selective-Model-Adaptation-for-Federated-Learning
Language:Python
NijatZeynalov/Self-Correction-Framework-for-LLaMa-2-using-Reinforcement-Learning
Language:Python
NijatZeynalov/Semantic-Code-Explorer
Language:Python
NijatZeynalov/Sparse-Attention-Decoder-for-LLMs
Language:Python
NijatZeynalov/Transformer-Based-Byte-Fuzz-Testing
Language:Python
NijatZeynalov/Weight-Generator-for-Image-Classification
Language:Python