sharath124 Goto Github PK

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-machine-learning-on-source-code

Interesting links & research papers related to Machine Learning applied to source code

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

carnd-semantic-segmentation

My solution to the Udacity Self-Driving Car Engineer Nanodegree Semantic Segmentation (Advanced Deep Learning) Project.

courses

fast.ai Courses

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

data-analysis

Data Analysis Using Python

datacamp_data_scientist_with_python_2020

DataCamp Data Scientist with Python

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

digit-recognizer

Machine Learning classifier for recognizing the digits.

dl4cvstarterbundle

Edited code examples from the book 'Deep Learning for Computer Vision - Starter Bundle' by Adrian Rosebrock

emojinator

A simple emoji classifier for humans.

example-code

Example code for the book Fluent Python, First Edition (O'Reilly, 2015)

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

face-recognition

Facial Recognition using OpenCV and Python

face_recognition

The world's simplest facial recognition api for Python and the command line

fastai

The fast.ai deep learning library, lessons, and tutorials

gym

A toolkit for developing and comparing reinforcement learning algorithms.

handmovementtracking

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

machine-learning

Content for Udacity's Machine Learning curriculum

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

models

Models and examples built with TensorFlow

multilabel-timeseries-classification-with-lstm

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

opennmt-py

Open Source Neural Machine Translation in PyTorch

predicting-poverty

Combining satellite imagery and machine learning to predict poverty

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

repo-2017

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

requests-for-research

A living collection of deep learning problems

sdc-traffic-sign-recognition

In this project, images from german traffic signs are classified using a convolutional neural network.