LSSTC-DSFP / Lsstc Dsfp Sessions
Licence: mit
Lecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program
Stars: ✭ 201
Labels
Projects that are alternatives of or similar to Lsstc Dsfp Sessions
Binpy
An electronic simulation library written in pure Python
Stars: ✭ 199 (-1%)
Mutual labels: jupyter-notebook
Image To 3d Bbox
Build a CNN network to predict 3D bounding box of car from 2D image.
Stars: ✭ 200 (-0.5%)
Mutual labels: jupyter-notebook
Pyqstrat
A fast, extensible, transparent python library for backtesting quantitative strategies.
Stars: ✭ 200 (-0.5%)
Mutual labels: jupyter-notebook
Medium articles
Scripts/Notebooks used for my articles published on Medium
Stars: ✭ 199 (-1%)
Mutual labels: jupyter-notebook
Sdc Lane And Vehicle Detection Tracking
OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars
Stars: ✭ 200 (-0.5%)
Mutual labels: jupyter-notebook
Rl Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Stars: ✭ 2,505 (+1146.27%)
Mutual labels: jupyter-notebook
Trump Lies
Tutorial: Web scraping in Python with Beautiful Soup
Stars: ✭ 201 (+0%)
Mutual labels: jupyter-notebook
W Net
w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.
Stars: ✭ 200 (-0.5%)
Mutual labels: jupyter-notebook
Rosetta
Tools, wrappers, etc... for data science with a concentration on text processing
Stars: ✭ 200 (-0.5%)
Mutual labels: jupyter-notebook
Machine Learning With Python Cookbook Notes
(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
Stars: ✭ 197 (-1.99%)
Mutual labels: jupyter-notebook
Traffic Sign Detection
Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
Stars: ✭ 200 (-0.5%)
Mutual labels: jupyter-notebook
Spark Practice
Apache Spark (PySpark) Practice on Real Data
Stars: ✭ 200 (-0.5%)
Mutual labels: jupyter-notebook
Keras deep clustering
How to do Unsupervised Clustering with Keras
Stars: ✭ 202 (+0.5%)
Mutual labels: jupyter-notebook
Basset
Convolutional neural network analysis for predicting DNA sequence activity.
Stars: ✭ 199 (-1%)
Mutual labels: jupyter-notebook
Pycon2017 Optimizing Pandas
Materials for PyCon 2017 presentation on optimizing Pandas code
Stars: ✭ 201 (+0%)
Mutual labels: jupyter-notebook
Pratik Derin Ogrenme Uygulamalari
Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.
Stars: ✭ 200 (-0.5%)
Mutual labels: jupyter-notebook
Allensdk
code for reading and processing Allen Institute for Brain Science data
Stars: ✭ 200 (-0.5%)
Mutual labels: jupyter-notebook
LSSTC-DSFP-Sessions
This repository houses the material and Jupyter notebooks associated with the Large Synoptic Survey Telescope Corporation (LSSTC) Data Science Fellowship Program (DSFP).
The LSSTC DSFP is a two year training program designed to teach skills required for LSST science that are not easily addressed by current astrophysics programs. The program consists of three, one-week schools per year over a two year period.
The LSSTC Data Science Fellowship Program is a supplement to graduate education in astronomy, intended to teach astronomy students essential skills for dealing with big data.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].