Tensorflow TutorialTensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Stars: ✭ 4,122 (+634.76%)
IntrotodeeplearningLab Materials for MIT 6.S191: Introduction to Deep Learning
Stars: ✭ 4,955 (+783.24%)
Asrt speechrecognitionA Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
Stars: ✭ 4,943 (+781.11%)
LayerNeural network inference the Unix way
Stars: ✭ 539 (-3.92%)
Multi Class Text Classification CnnClassify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
Stars: ✭ 410 (-26.92%)
Ssr Net[IJCAI18] SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation
Stars: ✭ 475 (-15.33%)
SimganImplementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training
Stars: ✭ 406 (-27.63%)
Pytorch classification利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
Stars: ✭ 395 (-29.59%)
NmtpytorchSequence-to-Sequence Framework in PyTorch
Stars: ✭ 392 (-30.12%)
Seq2seqchatbotsA wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.
Stars: ✭ 466 (-16.93%)
Dissecting Reinforcement LearningPython code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Stars: ✭ 512 (-8.73%)
OnnxruntimeONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Stars: ✭ 5,910 (+953.48%)
Keras JsRun Keras models in the browser, with GPU support using WebGL
Stars: ✭ 4,855 (+765.42%)
Start Machine Learning In 2020A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Stars: ✭ 357 (-36.36%)
PyodA Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
Stars: ✭ 5,083 (+806.06%)
LambdanetPurely functional artificial neural network library implemented in Haskell.
Stars: ✭ 376 (-32.98%)
EdwardA probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Stars: ✭ 4,674 (+733.16%)
RmdlRMDL: Random Multimodel Deep Learning for Classification
Stars: ✭ 375 (-33.16%)
Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
Stars: ✭ 448 (-20.14%)
Pulp DronetA deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP
Stars: ✭ 374 (-33.33%)
Xai resourcesInteresting resources related to XAI (Explainable Artificial Intelligence)
Stars: ✭ 553 (-1.43%)
Tf 2.0 HacksContains my explorations of TensorFlow 2.x
Stars: ✭ 369 (-34.22%)
Spacy💫 Industrial-strength Natural Language Processing (NLP) in Python
Stars: ✭ 21,978 (+3817.65%)
ChempropMessage Passing Neural Networks for Molecule Property Prediction
Stars: ✭ 501 (-10.7%)
D2 NetD2-Net: A Trainable CNN for Joint Description and Detection of Local Features
Stars: ✭ 448 (-20.14%)
Handwriting GenerationImplementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).
Stars: ✭ 361 (-35.65%)
SknetCode for our CVPR 2019 paper: Selective Kernel Networks; See zhihu:https://zhuanlan.zhihu.com/p/59690223
Stars: ✭ 443 (-21.03%)
Time Series PredictionA collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter
Stars: ✭ 351 (-37.43%)
N BeatsKeras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Stars: ✭ 351 (-37.43%)
Ofxdarknetdarknet neural network addon for openFrameworks
Stars: ✭ 493 (-12.12%)
TcavCode for the TCAV ML interpretability project
Stars: ✭ 442 (-21.21%)
BrevitasBrevitas: quantization-aware training in PyTorch
Stars: ✭ 343 (-38.86%)
CycleganTensorflow implementation of CycleGAN
Stars: ✭ 348 (-37.97%)
Amazon Forest Computer VisionAmazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Stars: ✭ 346 (-38.32%)
Fast PytorchPytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
Stars: ✭ 346 (-38.32%)
Interpretable machine learning with pythonExamples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Stars: ✭ 530 (-5.53%)
Regl CnnDigit recognition with Convolutional Neural Networks in WebGL
Stars: ✭ 490 (-12.66%)
LucidA collection of infrastructure and tools for research in neural network interpretability.
Stars: ✭ 4,344 (+674.33%)
Tbd NetsPyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"
Stars: ✭ 345 (-38.5%)
Pytorch FlowsPyTorch implementations of algorithms for density estimation
Stars: ✭ 439 (-21.75%)
Real Time Gesrec Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101
Stars: ✭ 339 (-39.57%)
GeneticalgorithmpythonSource code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Stars: ✭ 435 (-22.46%)