jgraving Goto Github PK

360controller

TattieBogle Xbox 360 Driver (with improvements)

astronn

Deep Learning for Astronomers with Tensorflow

autopilot-tensorflow

A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes

bayesian_beta_regression

Bayesian Beta Regression for Collective Signal Detection (Bath et al.)

bayesian_bootstrap

bayesian bootstrapping in python

bayesian_dense

Bayesian Weight Uncertainty Dense Layer for Keras

bb_binary

Binary Format for the BeesBook detections

bb_pipeline

Social networks in honeybees - Detection pipeline

bb_tracking

Python code to perform tracking and evaluate the performance of tracking algorithms for the beesbook project.

behavelet

a wavelet transform for mapping behavior

behavior-mapping

bhtsne

Python module for Barnes-Hut implementation of t-SNE (Cython)

bidnn

Bidirectional (Symmetrical) Deep Neural Networks

blahutarimoto

Python implementation of the Blahut-Arimoto algorithm to compute the Rate-Distortion of an i.i.d distribution

camcal

camera calibration functions

camera-calibration

cazala.github.io

this is the source of my website

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

circles-sines-signals

A Compact Primer on Digital Signal Processing

convolutional-pose-machines-tensorflow

cs231n

Convolutional Neural Networks Assignments

cs231n.github.io

Public facing notes page

cwt-tensorflow

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

dec-keras

Keras implementation for Deep Embedding Clustering (DEC)

dec-keras-1

Deep Embedding Clustering in Keras

deep-learning-experiments

Notes and experiments to understand deep learning concepts

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-motion-analysis

Motion analysis using deep neural networks