Snn toolboxToolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
TensorfxTensorFlow framework for training and serving machine learning models
StylenetA cute multi-layer LSTM that can perform like a human 🎶
Bilinear Cnn TensorflowThis is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.
Zeroshot Imitation[ICLR 2018] TensorFlow code for zero-shot visual imitation by self-supervised exploration
GraphgalleryGraphGallery is a gallery for benchmarking Graph Neural Networks (GNNs) and Graph Adversarial Learning with TensorFlow 2.x and PyTorch backend.
VirgilioVirgilio is developed and maintained by these awesome people.
You can email us virgilio.datascience (at) gmail.com or join the Discord chat.
CoremltoolsCore ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Attentive Gan DerainnetUnofficial tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/
EasymodelsEasily find and view pre-trained AI models and deep learning projects through the command line 💻
LoudmlLoud ML is the first open-source AI solution for ICT and IoT automation
Eye In The Sky Satellite Image Classification using semantic segmentation methods in deep learning
Mobilenetv3 TensorflowUnofficial implementation of MobileNetV3 architecture described in paper Searching for MobileNetV3.
Lightweight openposeA tensorflow implementation of Arxiv Paper "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose "(https://arxiv.org/abs/1811.12004)
Genetic CnnCNN architecture exploration using Genetic Algorithm
TexarToolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
Tensorflow Mnist CnnMNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
T3fTensor Train decomposition on TensorFlow
Deeprl AgentsA set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Snli Entailmentattention model for entailment on SNLI corpus implemented in Tensorflow and Keras
Opt MmdLearning kernels to maximize the power of MMD tests
ScatteractProject which implements extraction of data from scatter plots
DkerasDistributed Keras Engine, Make Keras faster with only one line of code.
NaszillaNaszilla is a Python library for neural architecture search (NAS)
Ultimatealpr SdkWorld's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and FPGAs using deep learning (Tensorflow, Tensorflow lite, TensorRT & OpenVINO). Multi-OS (NVIDIA Jetson, Android, Raspberry Pi, Linux, Windows) and Multi-Arch (ARM, x86).
Two Stream Dyntex SynthCode for the paper "Two-Stream Convolutional Networks for Dynamic Texture Synthesis". Presented at CVPR '18.
Retinaface Tf2RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
Gail TfTensorflow implementation of generative adversarial imitation learning
KtfliteComputer Vision on Android with Kotlin and Tensorflow Lite
CatdcganA DCGAN that generate Cat pictures 🐱💻
Tensorflow BuildA set of scripts to (cross-)build the Tensorflow C lib for various architectures / OS
PpnpPPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
ImgclsmobSandbox for training deep learning networks