Applied Dl 2018Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs
Ncnnncnn is a high-performance neural network inference framework optimized for the mobile platform
Mlmodelsmlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...
UnetU-Net Biomedical Image Segmentation
ScalphagozeroAn independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)
Cdcl Human Part SegmentationRepository for Paper: Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation (TCSVT20)
Keras AdamwKeras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers
Semanalysemantic analysis using word2vector, doc2vector,lstm and other method. mainly for text similarity analysis.
Real Time Ml ProjectA curated list of applied machine learning and data science notebooks and libraries across different industries.
Automl GsProvide an input CSV and a target field to predict, generate a model + code to run it.
LacmusLacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
ForwardA library for high performance deep learning inference on NVIDIA GPUs.
Ssd kerasA Keras port of Single Shot MultiBox Detector
Deep Learning ResourcesA Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.
BrdnetImage denoising using deep CNN with batch renormalization(Neural Networks,2020)
Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Mnist drawThis is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.
UsiigaciUsiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
Compute EngineHighly optimized inference engine for Binarized Neural Networks
Svhn Deep Digit DetectorDeep-digit-detector (and recognizer) in natural scene. A digit detection framework was implemented using keras with tensorflow backend.
Keras Vgg16 Places365Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification
InvoicenetDeep neural network to extract intelligent information from invoice documents.
Keras CoordconvKeras implementation of CoordConv for all Convolution layers
TensordashTensorDash is an application that lets you remotely monitor your deep learning model's metrics and notifies you when your model training is completed or crashed.
VpilotScripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.
Policy GradientMinimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
HorovodDistributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
SpektralGraph Neural Networks with Keras and Tensorflow 2.
Qlik Py ToolsData Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Tf2 Yolov4A TensorFlow 2.0 implementation of YOLOv4: Optimal Speed and Accuracy of Object Detection
Gtzan.keras[REPO] Music Genre classification on GTZAN dataset using CNNs
Seq2seq tutorialCode For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
SimpsonrecognitionDetect and recognize The Simpsons characters using Keras and Faster R-CNN
RobinRObust document image BINarization
Ergo Pe Av🧠 🦠 An artificial neural network and API to detect Windows malware, based on Ergo and LIEF.
Keras Faceface detection, verification and recognition using Keras
Chinese Chatbot中文聊天机器人,基于10万组对白训练而成,采用注意力机制,对一般问题都会生成一个有意义的答复。已上传模型,可直接运行,跑不起来直播吃键盘。
Ml ProjectsML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python