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3d-boundingbox

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry

activity-recognition-i3d

Activity Recognition using Inflated-3d-convolutional networks.

age-prediction-of-indian-actors

Predicting the Age of Indian Actors and Classifying them into Young, Middle or Old

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

cyclegan-keras

Implementation of Cycle GAN for Image to Image Translation in Keras and Tensorflow

emojify

Emotion Recognition from Facial Expressions using Deep Learning

friendly-introduction-to-keras

A notebook which introduces to the basic layout of a deep learning project using the Keras framework. Used this to present to a couple of folks in the organization, so thought of sharing.

frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

generative-adversarial-networks-in-keras

Implementation and explanation of GAN's in Keras. A toy example of generating handwritten digits using the MNIST dataset to gain some intuition into how Generators and Discriminators work.

google-trends-analytics

Course Project for UCSD ECE143: Programming for Data Analytics

gta-domain-adaptation

ECE 285 Course Project on Adversarial Domain Adaptation using Image Translation for Synthetic Data.

islr-python

keras-image-classification

Image Classification using Keras

keras-sentiment-classification

Sentiment Classification on the imdb dataset using Keras

lane-detection-with-cuda

Detecting Lanes using Cuda Kernels

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

ml_exercises

patchgan

PatchGAN's for refining Monocular Depth Estimation.

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

python-vimrc

VIM Configuration for Python / Cython / C Development

tensorflow

Computation using data flow graphs for scalable machine learning

u-net-in-keras

Implementing U-Nets for semantic segmentation and visual understanding

voxelnet

This is an unofficial inplementation of VoxelNet in TensorFlow.