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ai_in_finance

This is the code for "AI in Finance" By Siraj Raval on Youtube

ai_startup_prototype

This is the code for "Watch Me Build an AI Startup" By Siraj Raval on Youtube

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

bert-as-service

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

btre_project

Django real estate website

chemgan-challenge

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

codestackr

convolutional_neural_network

This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube

cvxportfolio

Portfolio optimization and simulation in Python

docs

TensorFlow documentation

dummy-robot

peng-zhihui dummy robot project

essentialmath

gimme-aws-creds

A CLI that utilizes Okta IdP via SAML to acquire temporary AWS credentials

google-research

Google AI Research

how_to_build_a_bitcoin_startup

This is the code for "How to Build a Bitcoin Startup" by Siraj Raval on Youtube

intermediatepython

intro_to_the_math_of_intelligence

This is the code for "Intro - The Math of Intelligence" by Siraj Raval on Youtube

learn_physics_in_2_months

This is the curriculum for "Learn Physics in 2 Months" by Siraj Raval on Youtube

medical-image-classification-using-deep-learning

Tumour is formed in human body by abnormal cell multiplication in the tissue. Early detection of tumors and classifying them to Benign and malignant tumours is important in order to prevent its further growth. MRI (Magnetic Resonance Imaging) is a medical imaging technique used by radiologists to study and analyse medical images. Doing critical analysis manually can create unnecessary delay and also the accuracy for the same will be very less due to human errors. The main objective of this project is to apply machine learning techniques to make systems capable enough to perform such critical analysis faster with higher accuracy and efficiency levels. This research work is been done on te existing architecture of convolution neural network which can identify the tumour from MRI image. The Convolution Neural Network was implemented using Keras and TensorFlow, accelerated by NVIDIA Tesla K40 GPU. Using REMBRANDT as the dataset for implementation, the Classification accuracy accuired for AlexNet and ZFNet are 63.56% and 84.42% respectively.

ml-class

Materials for my classes on machine learning.

pdfgpt

PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!

python-getting-started

Getting Started with Python on Heroku.

qiskit-textbook

A university quantum algorithms/computation course supplement based on Qiskit

research

sampsite

serving

A flexible, high-performance serving system for machine learning models

tensorflow-object-detection-api-tutorial-train-multiple-objects-windows-10

How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows

test

testest

the-craft-of-selfteaching

One has no future if one couldn't teach themself.