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Hey, I'm Dhaval

  • I enjoy working with machine learning!
  • I'm always looking for opportunities to expand my knowledge and skills in this field.
  • Over the past few years, I have attained a wealth of experience in ML/DL through working on projects as part of the university courses, specializations from Coursera, and research assistantships.

ML-related coursera-certifications

Course Name
1 Neural Networks and Deep Learning
2 Structuring Machine Learning Projects
3 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
4 Convolutional Neural Networks
5 Sequence Models

I'm proficient with:

  • Python‌

  • Probability and Statistics

  • Linear Algebra

  • Machine Learning Algorithms: Linear Regression, Lasso and Ridge regularisation, Logistic Regression, Decision Trees, Naive Bayesian Model, K- Nearest Neighbors, Support Vector Machine, Random Forest, Ada Boosting, Gradient Boosting — GBM, XG Boost, Neural Network — ANN, CNN, RNN, LSTM & GRU, Bert, Transformer, K-Means clustering, Hierarchical clustering — Agglomerative and Divisive, DBSCAN

  • Programming: Python: NumPy‌,Scipy , Pandas, Matplotlib, Seaborn, Sklearn, cv2, nltk and spacy, TF or Pytorch, Hugging faces — Transformers, SQL

Dhaval Patel's Projects

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

deformable-detr icon deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

detr icon detr

End-to-End Object Detection with Transformers

dino icon dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

imageclassification-with-pytorch-ray icon imageclassification-with-pytorch-ray

This MLOps repository contains python modules intended for distributed model training, tuning, and serving using PyTorch and Ray, a distributed computing framework.

lightly icon lightly

A python library for self-supervised learning on images.

pysindy icon pysindy

A package for the sparse identification of nonlinear dynamical systems from data

slowfast icon slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

tensorrt icon tensorrt

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

tuning_playbook icon tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

vnext icon vnext

Next-generation Video instance recognition framework on top of Detectron2 which supports InstMove (CVPR 2023), SeqFormer(ECCV Oral), and IDOL(ECCV Oral))

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