Tiny no-string framework for a quick third-party models binding for entities extraction from cells of long tabular data
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Updated
Mar 10, 2025 - Python
Tiny no-string framework for a quick third-party models binding for entities extraction from cells of long tabular data
This project demonstrates text summarization using the BART (Bidirectional and Auto-Regressive Transformers) model. BART is a transformer model trained as a denoising autoencoder and is effective for text generation tasks such as summarization.
🧠 Nexus AI - Open Source Vietnamese LLM. Multi-Head Latent Attention (MLA), Mixture-of-Experts 64 experts, FP8 Quantization bằng Triton, YaRN RoPE 128K+ context. Mô hình ngôn ngữ Transformer mã nguồn mở Việt Nam. NLP Deep Learning AI
🌿 GreenSight AI Real-Time Terrain Segmentation for Forest Monitoring GreenSight AI is an advanced semantic segmentation system designed to analyze forest terrain using deep learning. The model segments forest images into 10 detailed terrain classes, enabling automated environmental monitoring and land analysis. Final IoU Score : 0.2638
FluxPipeline is a prototype experimental project that provides a framework for working with the FLUX.1-schnell image generation model. This project is intended for educational and experimental purposes only.
Blip Image Captioning + GPT-2 Happy Model: Generate joyful responses to image captions using state-of-the-art NLP and computer vision. Pretrained models and data preprocessing included for seamless integration. Explore the intersection of deep learning, sentiment analysis, and language generation
A from-scratch C transformer inference kernel for small model configurations, with blocked GEMM and fused attention.
Using just machine learning, can we convert the kanji in Japanese sentences to hiragana?
A Generative AI application that transforms text prompts into 3D human motion animations using the MoMask model, with a Gradio-based web interface.
Enterprise Text Classification Model Selection Framework Automated decision-support system for selecting optimal transformer models in production text pipelines. Evaluates BERT, DistilBERT, and ELECTRA across accuracy, speed, and cost metrics for finance, healthcare, legal, and customer service applications.
DAL-GAN-PS: A dual-adversarial low-resource NLP framework for Sanskrit text generation using GANs, cross-lingual transfer, and PhonoScript linguistic constraints.
End-to-end ML pipeline for SELFIES-based molecular generation, Transformer fine-tuning, docking, and drug-likeness evaluation for HIV-1 protease inhibitors.
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