Mit 6.s094MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions
Stars: ✭ 74 (-94.04%)
Deep Head Pose🔥🔥 Deep Learning Head Pose Estimation using PyTorch.
Stars: ✭ 1,035 (-16.67%)
SrrescganCode repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).
Stars: ✭ 44 (-96.46%)
Train Ai With Django Swagger JwtTrain AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - deploys to Kubernetes and OpenShift Container Platform
Stars: ✭ 66 (-94.69%)
LudwigData-centric declarative deep learning framework
Stars: ✭ 8,018 (+545.57%)
Dm HaikuJAX-based neural network library
Stars: ✭ 1,010 (-18.68%)
MetalperformanceshadersproxyA proxy for MetalPerformanceShaders which takes to a stub on a simulator and to the real implementation on iOS devices.
Stars: ✭ 41 (-96.7%)
PhotoassessmentPhoto Assessment using Core ML and Metal.
Stars: ✭ 40 (-96.78%)
GtsrbConvolutional Neural Network for German Traffic Sign Recognition Benchmark
Stars: ✭ 65 (-94.77%)
Dbn CudaGPU accelerated Deep Belief Network
Stars: ✭ 38 (-96.94%)
Sarcasm DetectionDetecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.
Stars: ✭ 73 (-94.12%)
Knowledge Distillation PytorchA PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
Stars: ✭ 986 (-20.61%)
Ardupi EcgFull HRV analysis of Arduino pulse sensor, using Python signal processing and time series techniques. Chaotic, Fourier, Wavelet, Regression, Neural Net.
Stars: ✭ 35 (-97.18%)
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 (-93.8%)
MaestroAn analytical cost model evaluating DNN mappings (dataflows and tiling).
Stars: ✭ 35 (-97.18%)
Vitechtuyển chọn các tài liệu về công nghệ bằng tiếng Việt
Stars: ✭ 63 (-94.93%)
Dl Colab NotebooksTry out deep learning models online on Google Colab
Stars: ✭ 969 (-21.98%)
Rnn TrajmodelThe source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"
Stars: ✭ 72 (-94.2%)
PointcnnPointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Stars: ✭ 1,120 (-9.82%)
AdnADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
Stars: ✭ 81 (-93.48%)
Onnx RR Interface to Open Neural Network Exchange (ONNX)
Stars: ✭ 31 (-97.5%)
MaliangiOS painting and drawing library based on Metal. 神笔马良有一支神笔(基于 Metal 的涂鸦绘图库)
Stars: ✭ 1,117 (-10.06%)
Randwire tensorflowtensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition
Stars: ✭ 29 (-97.67%)
AletheiaUnwrapping Black Box of ReLU DNNs
Stars: ✭ 28 (-97.75%)
Deej A.i.Create automatic playlists by using Deep Learning to *listen* to the music
Stars: ✭ 57 (-95.41%)
MetalpetalA GPU accelerated image and video processing framework built on Metal.
Stars: ✭ 907 (-26.97%)
SwaeImplementation of the Sliced Wasserstein Autoencoders
Stars: ✭ 75 (-93.96%)
TabnetPyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Stars: ✭ 882 (-28.99%)
Deep Kernel GpDeep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
Stars: ✭ 58 (-95.33%)
Yolo Coreml MpsnngraphTiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
Stars: ✭ 866 (-30.27%)
Gluon2pytorchGluon to PyTorch deep neural network model converter
Stars: ✭ 70 (-94.36%)
Nideepcollection of utilities to use with deep learning libraries (e.g. caffe)
Stars: ✭ 25 (-97.99%)
Unet 3d3D Unet Equipped with Advanced Deep Learning Methods
Stars: ✭ 57 (-95.41%)
Zoneout TensorflowAn implementation of zoneout regularizer on LSTM-RNN by Tensorflow
Stars: ✭ 23 (-98.15%)
Sdtw pytorchImplementation of soft dynamic time warping in pytorch
Stars: ✭ 79 (-93.64%)
Deepfake DetectionDeepFake Detection: Detect the video is fake or not using InceptionResNetV2.
Stars: ✭ 23 (-98.15%)
Time AttentionImplementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
Stars: ✭ 52 (-95.81%)
MedicaldetectiontoolkitThe Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
Stars: ✭ 917 (-26.17%)
Deeplearning4jAll DeepLearning4j projects go here.
Stars: ✭ 68 (-94.52%)
MetalvideoprocessMetalVideoProcess is a High-Performance video effects processing framework. It's base on GPUImage3 Metal, support asynchronous and multithread processing.
Stars: ✭ 52 (-95.81%)
Face RecognitionFace Recognition Using Keras/tensorflow coupled with Node.js Server
Stars: ✭ 16 (-98.71%)
Tfjs CoreWebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
Stars: ✭ 8,514 (+585.51%)
Bass NetBand-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification
Stars: ✭ 49 (-96.05%)
SerranoA Swift deep learning library with Accelerate and Metal support.
Stars: ✭ 50 (-95.97%)
DareblopyData Reading Blocks for Python
Stars: ✭ 82 (-93.4%)
Flops Counter.pytorchFlops counter for convolutional networks in pytorch framework
Stars: ✭ 1,223 (-1.53%)
Metalbrot PlaygroundAn interactive playground showing how to use Metal compute kernels.
Stars: ✭ 78 (-93.72%)
Caffe2Caffe2 is a lightweight, modular, and scalable deep learning framework.
Stars: ✭ 8,409 (+577.05%)
Pinns Tf2.0TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
Stars: ✭ 67 (-94.61%)