fun-with-dncPytorch Implementation of Deepmind's 'Hybrid computing using a neural network with dynamic external memory' (Differentiable Neural Computer) + some applications
Stars: ✭ 18 (-10%)
Fusion UkfAn unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.
Stars: ✭ 162 (+710%)
VAE-Latent-Space-ExplorerInteractive exploration of MNIST variational autoencoder latent space with React and tensorflow.js.
Stars: ✭ 30 (+50%)
Robotics Coursework🤖 Places where you can learn robotics (and stuff like that) online 🤖
Stars: ✭ 1,810 (+8950%)
tensorflow-mnist-AAETensorflow implementation of adversarial auto-encoder for MNIST
Stars: ✭ 86 (+330%)
Cvnd UdacityComputer Vision Nanodegree program from Udacity
Stars: ✭ 52 (+160%)
Online Courses LearningContains the online course about Data Science, Machine Learning, Programming Language, Operating System, Mechanial Engineering, Mathematics and Robotics provided by Coursera, Udacity, Linkedin Learning, Udemy and edX.
Stars: ✭ 193 (+865%)
NanodegreesNanodegree programs https://www.udacity.com/nanodegree
Stars: ✭ 21 (+5%)
Hand-Digits-RecognitionRecognize your own handwritten digits with Tensorflow, embedded in a PyQT5 GUI. The Neural Network was trained on MNIST.
Stars: ✭ 11 (-45%)
digitRecognitionImplementation of a digit recognition using my Neural Network with the MNIST data set.
Stars: ✭ 21 (+5%)
Yolo resnetImplementing YOLO using ResNet as the feature extraction network
Stars: ✭ 82 (+310%)
digit recognizerCNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).
Stars: ✭ 27 (+35%)
UdacimakUdacity Nanodegree and Course Downloader
Stars: ✭ 1,163 (+5715%)
ios-ml-dog-classifierAn iOS app that can detect a dog and determine its breed from an image or video feed.
Stars: ✭ 37 (+85%)
CNN-MNISTCNN classification model built in Keras used for Digit Recognizer task on Kaggle (https://www.kaggle.com/c/digit-recognizer)
Stars: ✭ 23 (+15%)
Point Cloud FilterScripts showcasing filtering techniques applied to point cloud data.
Stars: ✭ 34 (+70%)
Particle Filter PrototypeParticle Filter Implementations in Python and C++, with lecture notes and visualizations
Stars: ✭ 29 (+45%)
Aind NlpCoding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
Stars: ✭ 202 (+910%)
Bounding-Box-Regression-GUIThis program shows how Bounding-Box-Regression works in a visual form. Intersection over Union ( IOU ), Non Maximum Suppression ( NMS ), Object detection, 边框回归,边框回归可视化,交并比,非极大值抑制,目标检测。
Stars: ✭ 16 (-20%)
Deep Learning NotesMy personal notes, presentations, and notebooks on everything Deep Learning.
Stars: ✭ 191 (+855%)
catacombThe simplest machine learning library for launching UIs, running evaluations, and comparing model performance.
Stars: ✭ 13 (-35%)
KerasMNISTKeras MNIST for Handwriting Detection
Stars: ✭ 25 (+25%)
reactnd-project-readableThe Discussion Forum React-Redux App : A Project for @udacity's React Nanodegree
Stars: ✭ 25 (+25%)
Udacity➿ 💡 My Udacity projects that I have made to improve my skills and complete my nanodegree. Please don't use it to copy the projects. Submit the PR if you want something to be added to this repository.
Stars: ✭ 113 (+465%)
Fun-with-MNISTPlaying with MNIST. Machine Learning. Generative Models.
Stars: ✭ 23 (+15%)
Advanced Lane DetectionAn advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding.
Stars: ✭ 71 (+255%)
tf-semantic-segmentation-FCN-VGG16Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF
Stars: ✭ 30 (+50%)
Vehicle DetectionVehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
Stars: ✭ 1,093 (+5365%)
gans-2.0Generative Adversarial Networks in TensorFlow 2.0
Stars: ✭ 76 (+280%)
ai for roboticsVisualizations of algorithms covered in Sebastian Thrun's excellent Artificial Intelligence for Robotics course on Udacity.
Stars: ✭ 125 (+525%)
Constant VigilanceLearn this if you want to be a software engineer. Constant vigilance means being continually aware of areas that need improvement. For me, I am constantly searching for valuable resources to ensure I am able to solve any problem that comes my way.
Stars: ✭ 30 (+50%)
MNIST-CoreMLPredict handwritten digits with CoreML
Stars: ✭ 63 (+215%)
UdacityThis repo includes all the projects I have finished in the Udacity Nanodegree programs
Stars: ✭ 57 (+185%)
Pytorch-PCGradPytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
Stars: ✭ 179 (+795%)
CRNN-OCR-liteLightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]
Stars: ✭ 130 (+550%)