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2023-leetcode-

My solutions to the programming problems on Leetcode.com, covering topics such as arrays, strings, linked lists, trees, and dynamic programming. Implemented in Python.

advance_flutter

This repo contains code related to dart and flutter

advent_of_code_2022

algo

algorithm-patterns-

This repository contain most commonly used algorithms patterns used for coding problems

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bhai-lang

A toy programming language written in Typescript

bit-of-data-science-and-scikit-learn

Youtube tutorial associated content

breast-cancer-classification

In this project, I use the data set form (UC Irvine Machine Learning Repository) to classify tumor as malignant or benign, I use two approaches Navie bayes technique and Neural Network using library .I use sklearn for naive bayes and karas is used to creating neural network.

bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

carbon-lang

Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)

codestackr

coding-interview-questions

Google TechDev Guide : Coding Interview Question:

community-starter-kit

dart_programing

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

data-science

data-sets

Include the data set for EDA

dataexplorer

Automate Data Exploration and Treatment

datasets

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

deep-learning-book-supplementary-materials

Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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

devzohaib

devzohaib.github.io

My website

diffusion-models-class

Materials for the Hugging Face Diffusion Models Course

drugs-classification

this is multiclass classification project, in which we used SVM with different kernel function to find maximum accuracy results for testing data.

fake-api-testing

fake_face_classification_cnn_dl

Fake Face Detection by Deep Learning Technique