Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
100-plus-python-coding-problems-with-solutions
A list of python problems for beginners and intermediate developers
3DFasterRCNN_LungNoduleDetector
BCDU-Net
BCDU-Net : Medical Image Segmentation
CNN-for-Tumour-Classification
Algorithm based on Convolutional Neural Network (CNN) to classify Computed Tomography scans (CT scans) as containing either malignant or benign tumours
Complete-Life-Cycle-of-a-Data-Science-Project
Complete-Life-Cycle-of-a-Data-Science-Project
courses
fast.ai Courses
CS231
Complete Assignments for Spring 2017 CS231n: Convolutional Neural Networks for Visual Recognition
Data-Science--Cheat-Sheet
Cheat Sheets
HS99's Repositories
HS99/100-Days-Of-ML-Code
100 Days of ML Coding
HS99/100-plus-python-coding-problems-with-solutions
A list of python problems for beginners and intermediate developers
HS99/BCDU-Net
BCDU-Net : Medical Image Segmentation
HS99/Complete-Life-Cycle-of-a-Data-Science-Project
Complete-Life-Cycle-of-a-Data-Science-Project
HS99/courses
fast.ai Courses
HS99/Data-Science--Cheat-Sheet
Cheat Sheets
HS99/DATA-SCIENCE-NOTES
PYTHON, MACHINE LEARNING, SQL, TABLEAU
HS99/Deep-learning-with-Python
Deep learning codes and projects using Python
HS99/Deep-Learning-with-TensorFlow-2-and-Keras
Deep Learning with TensorFlow 2 and Keras, published by Packt
HS99/Deep-Learning-with-TensorFlow-2.0-in-7-Steps
Learn image classification and language modeling
HS99/deeplearning.ai-notes
These are my personal notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
HS99/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
HS99/DL-workshop-series
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
HS99/face-recognition-with-attendance-system
HS99/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
HS99/keras-tuner-tutorial
Hands on tutorial for keras-tuner
HS99/LUNA16-Lung-Nodule-Analysis-2016-Challenge
LUNA16-Lung-Nodule-Analysis-2016-Challenge
HS99/Lung-Cancer-Detection-2
This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.
HS99/Lung-Diseases-Classifier
Diseases Detection from NIH Chest X-ray data
HS99/Lung-nodule-detection-LUNA-16
HS99/lungnodules
HS99/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
HS99/Machine-Learning-with-Python-1
Python code for common Machine Learning Algorithms
HS99/medium-resources
HS99/ProbAct-Probabilistic-Activation-Function
Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.
HS99/Python-Programs
Learning Python through program writing
HS99/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
HS99/TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
HS99/TheAlgorithms-Python
TheAlgorithms/Python
HS99/xDNN---Python