natural-language-processing

The largest multilingual image-text classification dataset. It contains fashion products.

Converts spoken words into text form.

Speech Analysis Framework, a collection of components and code from Google Cloud that you can use to transcribe audio files to create analytics.

The repository will contain a list of projects which we will work on while reading the books of Natural Language Processing & Transformers.

Trained T5 and T5-large model for creating keywords from text

Reimplementation of a BERT based model (Shi et al, 2019), currently the state-of-the-art for English SRL. This model implements also predicate disambiguation.

mindspore implementation of transformers

Evaluation framework for paper "VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?"

A RAG based Generative AI Attorney fed with Indian Penal Code data. Developed using Streamlit, LangChain and TogetherAI API.

Generating and validating natural-language explanations for the brain.

SPARC is an intelligent ROS2 Humble-based pick-and-place robotic system integrating MoveIt, YOLOv8-OBB, and Isaac Sim. It enables real-time object detection, motion planning for Franka Panda and UR5 arms, and natural language control via an Ollama-powered chatbot—making robotic manipulation smart, interactive, and human-friendly.

Electra pre-trained model using Vietnamese corpus

FoodBERT: Food Extraction with DistilBERT

Unofficial (Golang) Go bindings for the Hugging Face Inference API

CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations, ICCV 2021

Tune efficiently any LLM model from HuggingFace using distributed training (multiple GPU) and DeepSpeed. Uses Ray AIR to orchestrate the training on multiple AWS GPU instances

State-of-the-art prompting techniques implementation with DSpy - Manager-style prompts, role personas, meta-prompting, and more

TrAVis: Visualise BERT attention in your browser

🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.

📚 Text Classification with LoRA (Low-Rank Adaptation) of Language Models - Efficiently fine-tune large language models for text classification tasks using the Stanford Sentiment Treebank (SST-2) dataset and the LoRA technique.