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  • 👋 Hi, I’m @faisal-hayat
  • 👀 I’m interested in machine learnig, computer vision, smart grid, and meta-heuristic techniques
  • 🌱 I’m currently working on meta-heuristic techniques and feature selection
  • 💞️ I’m you are looking for collaboration, email ne
  • 📫 How to reach me [email protected]

M.Faisal Hayat's Projects

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

deep-learning-wizard icon deep-learning-wizard

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

discrete_optimization icon discrete_optimization

cousera: discrete optimization, Cplex, Python, heuristic algorithm, mixed integer programming

doctr icon doctr

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

doper icon doper

Distributed Optimal and Predictive Energy Resources

easyocr icon easyocr

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

emhass icon emhass

emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.

flax icon flax

Flax is a neural network library for JAX that is designed for flexibility.

gcfaggmvc icon gcfaggmvc

The official repos for ‘’GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering‘’, (CVPR 2023).

generative-models icon generative-models

Implementation of generative models to compute scenario of renewable generation and consumption.

gesenet icon gesenet

IEEE TNNLS | GeSeNet: A General Semantic-guided Network with Couple Mask Ensemble for Medical Image Fusion

god-level-data-science-ml-full-stack icon god-level-data-science-ml-full-stack

A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

kits19 icon kits19

The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge

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