Audio-Classification-using-CNN-MLPMulti class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.
Stars: ✭ 36 (-70%)
neuralBlackA Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework
Stars: ✭ 36 (-70%)
Recursive CnnsImplementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."
Stars: ✭ 80 (-33.33%)
Cnn Paper2🎨 🎨 深度学习 卷积神经网络教程 :图像识别,目标检测,语义分割,实例分割,人脸识别,神经风格转换,GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/
Stars: ✭ 77 (-35.83%)
Openml RR package to interface with OpenML
Stars: ✭ 81 (-32.5%)
Attention Gated NetworksUse of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Stars: ✭ 1,237 (+930.83%)
BraindecodeOutdated, see new https://github.com/braindecode/braindecode
Stars: ✭ 284 (+136.67%)
Pytorch SaltnetKaggle | 9th place single model solution for TGS Salt Identification Challenge
Stars: ✭ 270 (+125%)
Pytorch SrganA modern PyTorch implementation of SRGAN
Stars: ✭ 289 (+140.83%)
PycaretAn open-source, low-code machine learning library in Python
Stars: ✭ 4,594 (+3728.33%)
PancancerBuilding classifiers using cancer transcriptomes across 33 different cancer-types
Stars: ✭ 84 (-30%)
StringlifierStringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.
Stars: ✭ 85 (-29.17%)
TrashnetDataset of images of trash; Torch-based CNN for garbage image classification
Stars: ✭ 368 (+206.67%)
T81 558 deep learningWashington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Stars: ✭ 4,152 (+3360%)
Espnetv2A light-weight, power efficient, and general purpose convolutional neural network
Stars: ✭ 377 (+214.17%)
DartsDifferentiable architecture search for convolutional and recurrent networks
Stars: ✭ 3,463 (+2785.83%)
Tf Pose EstimationDeep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.
Stars: ✭ 3,856 (+3113.33%)
PytorchPyTorch tutorials A to Z
Stars: ✭ 87 (-27.5%)
Wb color augmenterWB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
Stars: ✭ 89 (-25.83%)
ModelsgenesisOfficial Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
Stars: ✭ 416 (+246.67%)
TsaiTime series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai
Stars: ✭ 407 (+239.17%)
NumpycnnBuilding Convolutional Neural Networks From Scratch using NumPy
Stars: ✭ 436 (+263.33%)
Neuralnetwork.netA TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
Stars: ✭ 392 (+226.67%)
Kaggle CompetitionsThere are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
Stars: ✭ 86 (-28.33%)
Url ClassificationMachine learning to classify Malicious (Spam)/Benign URL's
Stars: ✭ 95 (-20.83%)
Hyperopt Keras Cnn Cifar 100Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
Stars: ✭ 95 (-20.83%)
Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Stars: ✭ 96 (-20%)
Captcha TensorflowImage Captcha Solving Using TensorFlow and CNN Model. Accuracy 90%+
Stars: ✭ 660 (+450%)
LsuvinitReference caffe implementation of LSUV initialization
Stars: ✭ 99 (-17.5%)
FacedetectorA re-implementation of mtcnn. Joint training, tutorial and deployment together.
Stars: ✭ 99 (-17.5%)
CodesearchnetDatasets, tools, and benchmarks for representation learning of code.
Stars: ✭ 1,378 (+1048.33%)
Build OcrBuild an OCR for iOS apps
Stars: ✭ 17 (-85.83%)
Awesome Project IdeasCurated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
Stars: ✭ 6,114 (+4995%)
ModelsDLTK Model Zoo
Stars: ✭ 101 (-15.83%)
Food 101 MobileDeep Learning Food Classifier for iOS using Keras and Tensorflow
Stars: ✭ 97 (-19.17%)
Keras Oneclassanomalydetection[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.
Stars: ✭ 102 (-15%)
Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
Stars: ✭ 103 (-14.17%)
Self Driving CarA End to End CNN Model which predicts the steering wheel angle based on the video/image
Stars: ✭ 106 (-11.67%)
BonnetalBonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn
Stars: ✭ 202 (+68.33%)