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Projects in Awesome Lists by furk4neg3
A curated list of projects in awesome lists by furk4neg3 .
https://github.com/furk4neg3/sales-forecasting
Created AI models to forecast Wallmart's sales. Used different models, like dense, LSTM, GRU and naive model. Different window and horizon sizes are used too. Compared models visually at the end.
artificial-intelligence data-preparation data-visualization deep-learning forecasting gated-recurrent-unit lstm tensorflow tensorflow2
Last synced: 11 Oct 2024
https://github.com/furk4neg3/environment-image-classification
Image classification model using intel image classification dataset. Created 6 models using various techniques, which involves CNN and fine-tuning. Model works with 87% accuracy.
artificial-intelligence cnn-classification deep-learning fine-tuning machine-learning tensorflow tensorflow2
Last synced: 13 Nov 2024
https://github.com/furk4neg3/textemotionrecognition
In this project, I've created AI models to predict emotion based on texts. I've used RNN and transfer learning for that. Best model works with 96% accuracy.
artificial-intelligence deep-learning machine-learning nlp rnn rnn-tensorflow tensorflow tensorflow2 transfer-learning
Last synced: 13 Nov 2024
https://github.com/furk4neg3/digifit
Gym system that has 3 login menus (user, trainer, admin) and those menus use database dynamically with well designed GUIs
Last synced: 13 Nov 2024
https://github.com/furk4neg3/ibm-transformer-recommender-system
A PyTorch-based project exploring pre-training and fine-tuning strategies for building a recommender system on small, domain-specific datasets. Demonstrates transformer model pretraining on a general dataset and fine-tuning techniques to optimize recommendation accuracy with limited data.
Last synced: 13 Nov 2024
https://github.com/furk4neg3/ibm_nlp_tokenization_and_classification
This repository contains my implementations of tokenization techniques and document classification as part of an IBM AI lab project.
Last synced: 13 Nov 2024
https://github.com/furk4neg3/ibm_language_model_with_neural_networks
This repository includes the implementation of a language model using neural networks, developed as part of an IBM AI lab.
Last synced: 13 Nov 2024
https://github.com/furk4neg3/ibm_hf-model-loading-inference
A practical guide on loading and performing inference with Hugging Face models. Demonstrates both manual and pipeline-based approaches for text classification and generation, completed as part of IBM’s Generative AI Engineering with LLMs Specialization course.
Last synced: 13 Nov 2024
https://github.com/furk4neg3/ibm_self-attention-positional-encoding-nlp
A comprehensive lab exploring self-attention and positional encoding techniques in NLP, with code implementations for tokenization, translation, and similarity measures. This project was completed as part of IBM's deep learning course.
Last synced: 13 Nov 2024
https://github.com/furk4neg3/ibm_nlp_tokenization_and_dataloaders
This repository contains my practice implementations of various tokenization techniques and creating dataloaders as part of an IBM AI lab project.
Last synced: 13 Nov 2024
https://github.com/furk4neg3/ibm_tokenization_techniques
Practice on tokenizers in Generative AI Advance Fine-Tuning for LLMs course of IBM.
Last synced: 13 Nov 2024
https://github.com/furk4neg3/traffic-volume-forecasting
Traffic volume forecasting with AI using bidirectional LSTM model and React frontend.
Last synced: 13 Nov 2024
https://github.com/furk4neg3/ibm-transformer-fine-tuning-pytorch-huggingface
A project demonstrating fine-tuning techniques for large language models (LLMs) using PyTorch and Hugging Face’s SFTTrainer module. Covers data preparation, training loop implementation, task-specific fine-tuning, and performance evaluation with PyTorch and Hugging Face.
Last synced: 13 Nov 2024
https://github.com/furk4neg3/2dynamiccircularqueuesin1array
Implementing 2 dynamic sized circular queues in 1 array. Enqueue, dequeue and print operations can be read from a file named "input.txt".
Last synced: 13 Nov 2024
https://github.com/furk4neg3/ibm_transformer-classification-nlp
An NLP project using transformers to classify documents by topic. Developed for IBM’s Generative AI Engineering with LLMs Specialization course, this repository demonstrates applying transformers for organizing large text archives into searchable categories
Last synced: 13 Nov 2024
https://github.com/furk4neg3/ibm-pretraining-llms-huggingface
A hands-on project on pre-training and fine-tuning large language models (LLMs) using Hugging Face. Includes loading pretrained models, inferencing, and self-supervised fine-tuning techniques to customize LLMs for specific NLP applications.
Last synced: 13 Nov 2024
https://github.com/furk4neg3/image-segmentation
A short image segmentation project.
Last synced: 06 Dec 2024
https://github.com/furk4neg3/building_gan_with_pytorch
This repository contains the implementation of a Generative Adversarial Network (GAN).
Last synced: 06 Dec 2024
https://github.com/furk4neg3/rag-chatbot-pdf-question-answering
This project demonstrates a Retrieval-Augmented Generation (RAG) chatbot that allows users to upload PDF documents and ask questions. The chatbot provides answers using the contents of the uploaded PDF, leveraging IBM Watsonx's powerful LLM and embedding models along with LangChain for document processing and retrieval.
Last synced: 06 Dec 2024
https://github.com/furk4neg3/ibm_reward_modeling_with_transformers
This repository contains the implementation of reward modeling to fine-tune large language models (LLMs), focusing on improving the quality and alignment of generated responses with specific goals.
Last synced: 26 Nov 2024
https://github.com/furk4neg3/ibm_instruction_tuning_llms
This repository contains the implementation of instruction-based fine-tuning for large language models (LLMs), often referred to as Instruction GPT.
Last synced: 26 Nov 2024