Awesome Ai CancerAwesome artificial intelligence in cancer diagnostics and oncology
Stars: ✭ 48 (-64.44%)
TenginekitTengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.
Stars: ✭ 2,103 (+1457.78%)
Twitter Sent DnnDeep Neural Network for Sentiment Analysis on Twitter
Stars: ✭ 270 (+100%)
Deep Head Pose🔥🔥 Deep Learning Head Pose Estimation using PyTorch.
Stars: ✭ 1,035 (+666.67%)
Awesome Speech EnhancementA tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
Stars: ✭ 257 (+90.37%)
Deepcvendor independent deep learning library, compiler and inference framework microcomputers and micro-controllers
Stars: ✭ 260 (+92.59%)
ElemnetDeep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction
Stars: ✭ 44 (-67.41%)
RkdOfficial pytorch Implementation of Relational Knowledge Distillation, CVPR 2019
Stars: ✭ 257 (+90.37%)
AlgobookA beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨
Stars: ✭ 132 (-2.22%)
Deep Learning In ProductionIn this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Stars: ✭ 3,104 (+2199.26%)
SangitaA Natural Language Toolkit for Indian Languages
Stars: ✭ 43 (-68.15%)
Deep Learning PythonIntro to Deep Learning, including recurrent, convolution, and feed forward neural networks.
Stars: ✭ 94 (-30.37%)
Dm HaikuJAX-based neural network library
Stars: ✭ 1,010 (+648.15%)
DeepregMedical image registration using deep learning
Stars: ✭ 245 (+81.48%)
Computer Vision Guide📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.
Stars: ✭ 244 (+80.74%)
Torch ScanUseful information about PyTorch modules (FLOPs, MACs, receptive field, etc.)
Stars: ✭ 41 (-69.63%)
Generative Inpainting PytorchA PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
Stars: ✭ 242 (+79.26%)
NgraphnGraph has moved to OpenVINO
Stars: ✭ 1,322 (+879.26%)
Dlwpt CodeCode for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Stars: ✭ 3,054 (+2162.22%)
Dbn CudaGPU accelerated Deep Belief Network
Stars: ✭ 38 (-71.85%)
LcnnLCNN: End-to-End Wireframe Parsing
Stars: ✭ 234 (+73.33%)
Dnnweaver2Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.
Stars: ✭ 125 (-7.41%)
Nanodet⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Stars: ✭ 3,640 (+2596.3%)
Knowledge Distillation PytorchA PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
Stars: ✭ 986 (+630.37%)
DarkonToolkit to Hack Your Deep Learning Models
Stars: ✭ 231 (+71.11%)
Deep Learning DrizzleDrench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Stars: ✭ 9,717 (+7097.78%)
Octconv.pytorchPyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models
Stars: ✭ 229 (+69.63%)
Ardupi EcgFull HRV analysis of Arduino pulse sensor, using Python signal processing and time series techniques. Chaotic, Fourier, Wavelet, Regression, Neural Net.
Stars: ✭ 35 (-74.07%)
DeepcpgDeep neural networks for predicting CpG methylation
Stars: ✭ 113 (-16.3%)
Vq VaeMinimalist implementation of VQ-VAE in Pytorch
Stars: ✭ 224 (+65.93%)
MaestroAn analytical cost model evaluating DNN mappings (dataflows and tiling).
Stars: ✭ 35 (-74.07%)
C2ae Multilabel ClassificationTensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017
Stars: ✭ 90 (-33.33%)
Ml WorkspaceMachine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available
Stars: ✭ 221 (+63.7%)
Dl Colab NotebooksTry out deep learning models online on Google Colab
Stars: ✭ 969 (+617.78%)
Reptile PytorchA PyTorch implementation of OpenAI's REPTILE algorithm
Stars: ✭ 129 (-4.44%)
50 Days Of MlA day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
Stars: ✭ 218 (+61.48%)
DensedepthHigh Quality Monocular Depth Estimation via Transfer Learning
Stars: ✭ 963 (+613.33%)
Pytorch LapsrnPytorch implementation for LapSRN (CVPR2017)
Stars: ✭ 215 (+59.26%)
Self Supervised Relational ReasoningOfficial PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
Stars: ✭ 89 (-34.07%)
TrixiManage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.
Stars: ✭ 211 (+56.3%)
Theano Kaldi RnnTHEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.
Stars: ✭ 31 (-77.04%)
Chanlun文件 笔和线段的一种划分.py,只需要把k线high,low数据输入,就能自动实现笔,线段,中枢,买卖点,走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难,有人说选股很容易,有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统,当你的影响可以被忽略,你才能实现,Jiang主席所谓之,闷声发大财。
Stars: ✭ 206 (+52.59%)
GpndGenerative Probabilistic Novelty Detection with Adversarial Autoencoders
Stars: ✭ 112 (-17.04%)
Tensorflow object counting api🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!
Stars: ✭ 956 (+608.15%)
Robot Grasp DetectionDetecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.
Stars: ✭ 134 (-0.74%)
Netdef modelsRepository for different network models related to flow/disparity (ECCV 18)
Stars: ✭ 130 (-3.7%)
Pytorch convlstmconvolutional lstm implementation in pytorch
Stars: ✭ 126 (-6.67%)
Nlp Pretrained ModelA collection of Natural language processing pre-trained models.
Stars: ✭ 122 (-9.63%)
Crfasrnn pytorchCRF-RNN PyTorch version http://crfasrnn.torr.vision
Stars: ✭ 102 (-24.44%)
Yolo2 PytorchPyTorch implementation of the YOLO (You Only Look Once) v2
Stars: ✭ 426 (+215.56%)