MicromlpA micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
Stars: ✭ 92 (-96.68%)
Mobilenet Ssd Realsense[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering
Stars: ✭ 322 (-88.37%)
NncfPyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference
Stars: ✭ 218 (-92.12%)
VectorhubVector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)
Stars: ✭ 317 (-88.55%)
Botpress🤖 Dev tools to reliably understand text and automate conversations. Built-in NLU. Connect & deploy on any messaging channel (Slack, MS Teams, website, Telegram, etc).
Stars: ✭ 9,486 (+242.7%)
SalganSalGAN: Visual Saliency Prediction with Generative Adversarial Networks
Stars: ✭ 314 (-88.66%)
Person Reid Gan PytorchA Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)
Stars: ✭ 147 (-94.69%)
TrankitTrankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
Stars: ✭ 311 (-88.76%)
Pytorch Seq2seqAn open source framework for seq2seq models in PyTorch.
Stars: ✭ 1,297 (-53.14%)
SembertSemantics-aware BERT for Language Understanding (AAAI 2020)
Stars: ✭ 194 (-92.99%)
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 (-96.78%)
Vit PytorchImplementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Stars: ✭ 7,199 (+160.08%)
Anomaly detection tutoAnomaly detection tutorial on univariate time series with an auto-encoder
Stars: ✭ 144 (-94.8%)
XshinnosukeDeep learning framework realized by Numpy purely, supports for both Dynamic Graph and Static Graph with GPU acceleration
Stars: ✭ 291 (-89.49%)
Segan pytorchSpeech Enhancement Generative Adversarial Network in PyTorch
Stars: ✭ 242 (-91.26%)
FinnDataflow compiler for QNN inference on FPGAs
Stars: ✭ 284 (-89.74%)
Tf Mobilenet V2Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
Stars: ✭ 85 (-96.93%)
Oie ResourcesA curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.
Stars: ✭ 283 (-89.78%)
Rnn For Joint NluTensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
Stars: ✭ 281 (-89.85%)
Mobilenet SsdMobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.
Stars: ✭ 84 (-96.97%)
Liteflownet2A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020
Stars: ✭ 195 (-92.96%)
Micronetmicronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
Stars: ✭ 1,232 (-55.49%)
OpenbotOpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.
Stars: ✭ 2,025 (-26.84%)
Flops Counter.pytorchFlops counter for convolutional networks in pytorch framework
Stars: ✭ 1,223 (-55.82%)
Fixmatch PytorchUnofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
Stars: ✭ 259 (-90.64%)
Dalle PytorchImplementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Stars: ✭ 3,661 (+32.26%)
JejunetReal-Time Video Segmentation on Mobile Devices with DeepLab V3+, MobileNet V2. Worked on the project in 🏝 Jeju island
Stars: ✭ 258 (-90.68%)
KamonohashiAI開発プラットフォームKAMONOHASHI
Stars: ✭ 80 (-97.11%)
Rasa nlu gqturn natural language into structured data(支持中文,自定义了N种模型,支持不同的场景和任务)
Stars: ✭ 256 (-90.75%)
Botonic Build chatbots and conversational experiences using React
Stars: ✭ 144 (-94.8%)
CogViewText-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".
Stars: ✭ 708 (-74.42%)
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 (-97.22%)
hashformersHashformers is a framework for hashtag segmentation with transformers.
Stars: ✭ 18 (-99.35%)
DeeplogPytorch Implementation of DeepLog.
Stars: ✭ 192 (-93.06%)
FewCLUEFewCLUE 小样本学习测评基准,中文版
Stars: ✭ 251 (-90.93%)
T3[EMNLP 2020] "T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack" by Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li
Stars: ✭ 25 (-99.1%)
Keras age genderEasy Real time gender age prediction from webcam video with Keras
Stars: ✭ 143 (-94.83%)
Nlp TutorialNatural Language Processing Tutorial for Deep Learning Researchers
Stars: ✭ 9,895 (+257.48%)
SIGIR2021 ConureOne Person, One Model, One World: Learning Continual User Representation without Forgetting
Stars: ✭ 23 (-99.17%)
HomoAn open source natural interaction system based on offline wake-up, natural language understanding and sentiment analysis
Stars: ✭ 233 (-91.58%)
PIEFast + Non-Autoregressive Grammatical Error Correction using BERT. Code and Pre-trained models for paper "Parallel Iterative Edit Models for Local Sequence Transduction": www.aclweb.org/anthology/D19-1435.pdf (EMNLP-IJCNLP 2019)
Stars: ✭ 164 (-94.08%)
Auto car基于深度学习的自动避障智能小车
Stars: ✭ 74 (-97.33%)
WSCNNTDSaliency[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator
Stars: ✭ 19 (-99.31%)
Real Time Ml ProjectA curated list of applied machine learning and data science notebooks and libraries across different industries.
Stars: ✭ 143 (-94.83%)
Visualizingcnn 🙈A PyTorch implementation of the paper "Visualizing and Understanding Convolutional Networks." (ECCV 2014)
Stars: ✭ 132 (-95.23%)
LudwigData-centric declarative deep learning framework
Stars: ✭ 8,018 (+189.67%)
Quantization.mxnetSimulate quantization and quantization aware training for MXNet-Gluon models.
Stars: ✭ 42 (-98.48%)
Pycorrectorpycorrector is a toolkit for text error correction. 文本纠错,Kenlm,Seq2Seq_Attention,BERT,MacBERT,ELECTRA,ERNIE,Transformer等模型实现,开箱即用。
Stars: ✭ 2,857 (+3.22%)