YanSte
ML AI engineer | Senior Software engineer | Open source contributor 🚀 | Work in Zürich 🇨ðŸ‡
Zurich
Pinned Repositories
CNN-CV-Brain-Prediction
Predict the MGMT promoter methylation status of glioblastoma tumors between values of 0 and 1.
NLP-Fine-Tuning-Base-LLAMA-as-Chat-Instruct-
NLP | Fine Tuning Base LLAMA as Chat [Instruct]
NLP-LLM-Fine-tuning-Llame-2-QLoRA-2024
Natural Language Processing (NLP) and Large Language Models (LLM) with Fine-Tuning LLM QLoRA and Llama 2 in 2024
NLP-LLM-Fine-tuning-QA-LoRA-T5
Natural Language Processing (NLP) and Large Language Models (LLM) with Fine-Tuning LLM and make Chatbot Question answering (QA) with LoRA and Flan-T5 Large
NLP-LLM-LangChain-RAG-Question-Answer-Own-Data
Natural Language Processing (NLP) and Large Language Models (LLM) with LangChain and Inretrieval augmented generation (RAG) for Question Answering on Own Data
NLP-LLM-LLMOps-Pipeline-Dev-Stag-Prod
Natural Language Processing (NLP) and Large Language Models (LLM) with LLMOps and make a Pipeline Dev Stag Prod
NLP-LLM-VectorDB-Weaviate
Natural Language Processing (NLP) and Large Language Models (LLM) with Vector Database Weaviate
NLP-NER-Recognition-By-Fine-Tuning-DistilBERT
NLP | NER Recognition By Fine Tuning DistilBERT
NLP-ViT-Transformer-Human-Pose-Classification
NLP | ViT Transformer Human Pose Classification
WGAN-GP-GM-QuickDraw-Image-Generation
This project is an exploration of Generative Models (GM) and its capabilities, focusing on the generation of bicycle images using Wasserstein Generative Adversarial Networks (WGAN-GP) in conjunction with estimators and generators.
YanSte's Repositories
YanSte/NLP-LLM-LangChain-RAG-Question-Answer-Own-Data
Natural Language Processing (NLP) and Large Language Models (LLM) with LangChain and Inretrieval augmented generation (RAG) for Question Answering on Own Data
YanSte/NLP-LLM-VectorDB-Weaviate
Natural Language Processing (NLP) and Large Language Models (LLM) with Vector Database Weaviate
YanSte/SKit
SKit is a versatile Python library designed to streamline the deployment of Machine Learning (ML) models and facilitate various Data Science tasks.
YanSte/CNN-CV-GTSRB-Classification
Convolutional Neural Networks (CNN) with Computer Vision (CV) for GTSRB Traffic Sign Classification
YanSte/CNN-CV-MNIST-Classification
Convolutional Neural Networks (CNN) with Computer Vision (CV) for MNIST Handwriting Classification
YanSte/DNN-Wine-Prediction
Dense Neural Network (DNN) for Wine quality Prediction
YanSte/NLP-LLM-Basic-Applications
Natural Language Processing (NLP) and Large Language Models (LLM) and various basic applications.
YanSte/NLP-LLM-Fine-tuning-DeepSpeed
Natural Language Processing (NLP) and Large Language Models (LLM) with Fine-Tuning LLM and Trainer with DeepSpeed
YanSte/NLP-LLM-Fine-Tuning-Trainer
Natural Language Processing (NLP) and Large Language Models (LLM) with Fine-Tuning LLM and Trainer
YanSte/NLP-LLM-LangChain-Multi-Step-Reasoning-Part-1
Natural Language Processing (NLP) and Large Language Models (LLM) with LangChain and Building Multi-stage Reasoning Systems
YanSte/NLP-LLM-LangChain-ReAct-MultStepReason-2
Natural Language Processing (NLP) and Large Language Models (LLM) with LangChain / ReAct and Building Multi-stage Reasoning Systems
YanSte/NLP-LLM-Vector-Embeddings-DB-Search
Natural Language Processing (NLP), Large Language Models (LLM), and the Power of Vector Embeddings and Databases
YanSte/NLP-LLM-VectorDB-Pinecone
Natural Language Processing (NLP) and Large Language Models (LLM) with Vector Database Pinecone
YanSte/NLP-PEFT-LoRA-DialogSum-Dialogue-Summarize
Exploration of Large Language Model (LLM) and its capabilities, specifically dialogue summarization abilities. It highlights the use of a comprehensive fine-tuning approach called Efficient Fine-Tuning (PEFT)
YanSte/RSNA-MICCAI-Brain-Tumor-Classification-AI
Predict the brain tumor subtype present in a given MRI based on radiomic characteristics.
YanSte/CNN-CV-Brain-Prediction
Predict the MGMT promoter methylation status of glioblastoma tumors between values of 0 and 1.
YanSte/WGAN-GP-GM-QuickDraw-Image-Generation
This project is an exploration of Generative Models (GM) and its capabilities, focusing on the generation of bicycle images using Wasserstein Generative Adversarial Networks (WGAN-GP) in conjunction with estimators and generators.
YanSte/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
YanSte/awesome-langchain
😎 Awesome list of tools and projects with the awesome LangChain framework
YanSte/benchmarks
Benchmarking PDF libraries
YanSte/better_profanity
Blazingly fast cleaning swear words (and their leetspeak) in strings
YanSte/chunkerizer
Split and analyze text files using langchain and streamlit
YanSte/CNN-CV-RICE-Classification
Convolutional Neural Networks (CNN) with Computer Vision (CV) for Rice Classification
YanSte/fastapi-poetry-starter
A starter project using Python, FastAPI and Poetry
YanSte/gpt-migrate
Easily migrate your codebase from one framework or language to another.
YanSte/large-language-models
Notebooks for Large Language Models (LLMs) Specialization
YanSte/LLM-finetuning
This repository provides code and resources for Parameter Efficient Fine-Tuning (PEFT), a technique for improving fine-tuning efficiency in natural language processing tasks.
YanSte/machine_learning_examples
A collection of machine learning examples and tutorials.
YanSte/PCA-CV-Brain-Prediction
Predict the brain tumor subtype present in a given MRI based on radiomic characteristics.
YanSte/Whitebox-Code-GPT
Repository of instructions for Programming-specific GPT models