AUST-Hansen

Raspberry-Face-Recognition

Use Python and Open CV to recognize multi face and show the name

pytorch-rl

Deep Reinforcement Learning with pytorch & visdom (the branch for A3C continuous control)

clevr-iep

Inferring and Executing Programs for Visual Reasoning

pyscatwave

Fast Scattering Transform with CuPy/PyTorch

Visualizing-Loss-Functions

conditional-similarity-networks

pytorch-CortexNet

Udacity-ML-nanodegree

This is the repository which contains all 6 projects' source code in ML nano degree.

fastSLAM_Masters

3 Implementations of varied versions of FastSLAM solution to then SLAM problem

srez

Image super-resolution through deep learning

GOTURN

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

deep-photo-styletransfer

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

nndl-codes

Sample Codes for NNDL

facenet_pytorch

PyTorch implementation of the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering"

ORB-YGZ-SLAM

Structured-Self-Attentive-Sentence-Embedding

An open-source implementation of the paper ``A Structured Self-Attentive Sentence Embedding'' published by IBM and MILA.

AGE

Code for paper "Adversarial Generator-Encoder Networks" by Dmitry Ulyanov, Andrea Vedaldi and Victor Lempitsky

ygz-stereo-inertial

a stereo-inertial visual odometry

GAN-tensorflow

Implement Generative Adversarial Nets by Tensorflow

odin-pytorch

Principled Detection of Out-of-Distribution Examples in Neural Networks

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

FreezeOut

Accelerate Neural Net Training by Progressively Freezing Layers

generative-models

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

DiscoGAN-pytorch

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

bigBatch

Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training of neural networks"

rrc_detection

Accurate Single Stage Detector Using Recurrent Rolling Convolution

cartographer_turtlebot

Using leishen 2d lidar and turtlebot to cartographer slam.

fastslam-3

Hands-On-Machine-Learning

Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.