Machine Learning Is All You Need🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Stars: ✭ 173 (-21.72%)
Code for funSome of my scripts to automate the boring stuff around me
Stars: ✭ 167 (-24.43%)
MiscnnA framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Stars: ✭ 194 (-12.22%)
Pytorch VaeA CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
Stars: ✭ 181 (-18.1%)
Cs231nMy assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
Stars: ✭ 162 (-26.7%)
Image To 3d BboxBuild a CNN network to predict 3D bounding box of car from 2D image.
Stars: ✭ 200 (-9.5%)
MetalimageMetalImage is more faster and powerful than opengles for iOS. It is very similar to GPUImage framework, but perform a better 3D rendering and multithreads computing abilities.
Stars: ✭ 207 (-6.33%)
AffnetCode and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
Stars: ✭ 191 (-13.57%)
SeriesnetTime series prediction using dilated causal convolutional neural nets (temporal CNN)
Stars: ✭ 185 (-16.29%)
Simple cnnSimple Convolutional Neural Network Library
Stars: ✭ 158 (-28.51%)
Cnn Relation ExtractionTensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)
Stars: ✭ 203 (-8.14%)
VidaugEffective Video Augmentation Techniques for Training Convolutional Neural Networks
Stars: ✭ 178 (-19.46%)
Cnn From ScratchA scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset
Stars: ✭ 210 (-4.98%)
AutoclintA specially designed light version of Fast AutoAugment
Stars: ✭ 171 (-22.62%)
CnnimageretrievalCNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet
Stars: ✭ 168 (-23.98%)
TfwssWeakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
Stars: ✭ 212 (-4.07%)
Person Detection And TrackingA tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking
Stars: ✭ 193 (-12.67%)
Motion SenseMotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)
Stars: ✭ 159 (-28.05%)
Depression DetectPredicting depression from acoustic features of speech using a Convolutional Neural Network.
Stars: ✭ 187 (-15.38%)
GninaA deep learning framework for molecular docking
Stars: ✭ 183 (-17.19%)
VdcnnImplementation of Very Deep Convolutional Neural Network for Text Classification
Stars: ✭ 158 (-28.51%)
NeuriteNeural networks toolbox focused on medical image analysis
Stars: ✭ 203 (-8.14%)
Ml Systemspapers on scalable and efficient machine learning systems
Stars: ✭ 182 (-17.65%)
Im2latex TensorflowTensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)
Stars: ✭ 207 (-6.33%)
NaszillaNaszilla is a Python library for neural architecture search (NAS)
Stars: ✭ 181 (-18.1%)
IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Stars: ✭ 202 (-8.6%)
OsmdeepodOSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection").
Stars: ✭ 174 (-21.27%)
Grad cam plus plusA generalized gradient-based CNN visualization technique
Stars: ✭ 216 (-2.26%)
Cnn SvmAn Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
Stars: ✭ 170 (-23.08%)
Traffic Sign DetectionTraffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
Stars: ✭ 200 (-9.5%)
Neural Photo EditorA simple interface for editing natural photos with generative neural networks.
Stars: ✭ 2,031 (+819%)
Antialiased CnnsRepository has been moved: https://github.com/adobe/antialiased-cnns
Stars: ✭ 169 (-23.53%)
Deep image priorImage reconstruction done with untrained neural networks.
Stars: ✭ 168 (-23.98%)
Mobilenet V2A Complete and Simple Implementation of MobileNet-V2 in PyTorch
Stars: ✭ 206 (-6.79%)
IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
Stars: ✭ 163 (-26.24%)
Coursera Deep Learning SpecializationNotes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Stars: ✭ 188 (-14.93%)
Tf Adnet TrackingDeep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'
Stars: ✭ 162 (-26.7%)
Transfer Learning SuiteTransfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
Stars: ✭ 212 (-4.07%)
HdltexHDLTex: Hierarchical Deep Learning for Text Classification
Stars: ✭ 191 (-13.57%)
DeblurganImage Deblurring using Generative Adversarial Networks
Stars: ✭ 2,033 (+819.91%)
Bilinear Cnn TensorflowThis is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.
Stars: ✭ 187 (-15.38%)
Retrieval 2017 CamClass-Weighted Convolutional Features for Image Retrieval (BMVC 2017)
Stars: ✭ 219 (-0.9%)
3dmmasstnMatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)
Stars: ✭ 218 (-1.36%)
Deep Mri ReconstructionDeep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
Stars: ✭ 204 (-7.69%)
Anime4kA High-Quality Real Time Upscaler for Anime Video
Stars: ✭ 14,083 (+6272.4%)