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Hi there šŸ‘‹ Iā€™m Mohammad Saeid Heidari

āš” Data scientist at the Engineering Studies Center of Tehran University and master of computer science at the Shahid Beheshti University.

My research interests are mainly in:

  • Natural Language Processing (basically Transformers)
  • AI in Medical science
  • Deep Reinforcement Learning in Recommender Systems.
  • Deep Neural Network.
  • Self Supervise Learning.
  • New Approaches to Data-Efficient Machine Learning.
  • Business Intelligence.
  • Cognitive Science.

ms-heidari's Projects

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

causalml icon causalml

Uplift modeling and causal inference with machine learning algorithms

dsp-theory icon dsp-theory

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

fsl-mate icon fsl-mate

FSL-Mate: A collection of resources for few-shot learning (FSL).

langchain icon langchain

āš” Building applications with LLMs through composability āš”

libfewshot icon libfewshot

LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.

qlora icon qlora

QLoRA: Efficient Finetuning of Quantized LLMs

spacy icon spacy

šŸ’« Industrial-strength Natural Language Processing (NLP) in Python

techniques icon techniques

Techniques for deep learning with satellite & aerial imagery

transformers icon transformers

šŸ¤— Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

yolov5 icon yolov5

YOLOv5 šŸš€ in PyTorch > ONNX > CoreML > TFLite

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