mrpedi Goto Github PK

advance-lane-finding

Advance Lane Finding Technique using OpenCV

autonomous-lstm-simulator

3D CNN passed to LSTM and vanilla RNN for vehicle steering, throttle and brake in a simulator.

awesome-deep-learning

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

baseline-vqa

Baseline VQA - BOW/LSTM + CNN with softmax prediction

bdd_driving_model

bookshelf

:books: books

cnn_lstm_ctc_tensorflow

CNN+LSTM+CTC based OCR implemented using tensorflow.

cv_project_steeringangleprediction

Steering Angle Prediction in Self-Driving cars to enable end-to-end navigation.

data-version-control

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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

delving-deep-into-gans

A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.

drivegg

Deep Learning platform for self Driving Cars. uses GTA V as simulator

gan-tensorflow

Implement Generative Adversarial Nets by Tensorflow

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

hyperface-tensorflow-implementation

HyperFace

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

models

Models built with TensorFlow

nvidia-autopilot-keras

Keras Implementation of End to End Learning for Self-Driving Cars by (Baris Kayalibay, Grady Jensen, Patrick van der Smagt)

organ

Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

paper_reading_list

Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)

pattern-recognition-project-2017

pj_3

SDC Nanodegree - Behavioral Clonning

research

dataset and code for 2016 paper "Learning a Driving Simulator"

self-driving

Machine learning models for self-driving cars

self-driving-car

The Udacity open source self-driving car project

self-steering

Using Deep Learning to Predict Steering Angles.

semanticsegmentation_dl

Resources of semantic segmantation based on Deep Learning model

sql-interview-prep-question

This repository is for everyone who is preparing for Data Scientist/Data Analyst position interviews. It includes frequently asked SQL coding questions with answers.

stanford_self_driving_car_code

Stanford Code From Cars That Entered DARPA Grand Challenges