AI in tech's repositories
DeepLearning.AI
In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI. Created by: Deeplearning.AI
customer_segments
Segmentation and Clustering to find patterns and structures in unlabeled data, perform feature transformations and improve the predictive performance of your models.
awesome-rl
Reinforcement learning resources curated
CarND-LaneLines-P1-Solution
Udacity self-driving car nanodegree project 1: finding lane lines with Canny edge detection and Hough transforms.
CarND-Vehicle-Detection-P5-Solution
Udacity self-driving car nanodegree Project 5: training a support vector machine to identify and track cars in highway footage.
EDA_R_Udacity
Udacity Exploratory Data Analysis with R class work
FashionLLM
Ai based Fashion api for custom fashion designs
ImgGenSD2
An iOS app that generates images using Stable Diffusion v2.
intro_to_ML
Cloud Academy - intrp tp machine learning teaching materials
introtodeeplearning_labs
Lab Materials for MIT 6.S191: Introduction to Deep Learning
MLND-Capstone
Lane Detection with Deep Learning - My Capstone project for Udacity's ML Nanodegree
OpenStreetMap
OpenStreetMap data wrangling with MongoDB
Retrieval-based-Voice-Conversion-WebUI
Voice data <= 10 mins can also be used to train a good VC model!
scikit-learn
scikit-learn: machine learning in Python
TemporalKit
An all in one solution for adding Temporal Stability to a Stable Diffusion Render via an automatic1111 extension
udacity-self-driving-car
Project that simulates a self-driving car for the Udacity simulator
Udacity_intro_to_DS
In this project, I learned data manipulation, analysis with statistics and machine learning, also visualization and scaling with big data tools such as mapper and reducer.
Vehicle-Detection-and-Tracking
This is a deep learing approach to Udacitys "Vehicle Detection and Tracking" project in the CarND using CNNs.
voicefilter
Unofficial PyTorch implementation of Google AI's VoiceFilter system