Nahid Alam

Expert
@nahidalam

Independent researcher working on Multimodal Learning, Computer Vision and Embodied AI

scholar.google.com/citations?hl=en&user=11XdYBUAAAAJ&view_op=list_works&sortby=pubdate

maya. Maya: An Instruction Finetuned Multilingual Multimodal Model using Aya

129

customer_bot. Simple chatbot using Rasa.ai

47

modnet_docker. Dockerized container for MODNet - a Real-Time Portrait Matting solution

13

NLP_Study_Group. Jupyter Notebook

10

blog. Jupyter Notebook

8

raspberryPi. C

5

LLaVA. [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

5

NLPNotes. random notes

3

healthcare_ml. A curated list of ML|NLP resources for healthcare.

2

movieRecommender. Simple recommender system using Spotlight library on MovieLens dataset

2

Segment-and-Track-Anything. An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

1

generative-ai-for-beginners. 12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

1

TimeSformer. The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

1

Awesome-Segment-Anything. This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).

1

machine-learning-interview. Machine Learning Interviews from FAAG, Snapchat, LinkedIn.

1

VideoGPT. Jupyter Notebook

1

nlp-tutorial. Natural Language Processing Tutorial for Deep Learning Researchers

1

YOLOv8-multi-task. Python

1

Ask-Anything. ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.

1

Spark. Spark, Python, AWS EMR, MLLib, Spark Streaming, Spark - SQL

1

DrQA. A pytorch implementation of Reading Wikipedia to Answer Open-Domain Questions.

1

Kalman-and-Bayesian-Filters-in-Python. Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

1

awesome-python. A curated list of awesome Python frameworks, libraries, software and resources

1

rezgo-parser. Rezgo front-end parser.

1

OSCC. Open Source Car Control 💻🚗🙌

1

tech-interview-handbook. 💯 Algorithms study materials, behavioral content and tips for rocking your coding interview

1

python-machine-learning-book. The "Python Machine Learning" book code repository and info resource

1

BLE_Central. 2 BLE Communication, BLE Central, read thermometer

1

system-design-primer. Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

1
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