tensorflow
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Repositories (1176)
An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (V...
Asynchronous Methods for Deep Reinforcement Learning
Rock, Paper, Scissors, Lizard, Spock - Sample Application
Rotational region detection based on Faster-RCNN.
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
Node.js + TensorFlow
PyTorch and Tensorflow functional model definitions
Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations for 80 object classes using a pre...
Classify music genre from a 10 second sound stream using a Neural Network.
DeMoN: Depth and Motion Network
TensorFlow Node.js provides idiomatic JavaScript language bindings and a high layer API for Node.js users. TensorFlow Node.js provides idiomatic JavaS...
TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"
用PaddlePaddle和Tensorflow实现常用的深度学习算法
A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)
Tensorflow Implementation of R-Net
a tensorflow implementation of WGAN
"Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions", ACM Multimedia 2020
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
SiamFC tracking in TensorFlow.
The SSBM "Phillip" AI.
Medical Q&A with Deep Language Models
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
Image Recognition captcha without image segmentation 无需图片分割的验证码识别
DenseNet Implementation in Tensorflow
QKeras: a quantization deep learning library for Tensorflow Keras
Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0...
TensorFlow2教程 TensorFlow 2.0 Tutorial 入门教程实战案例
ACG2vec (Anime Comics Games to vector) are committed to creating a playground that combines ACG and Deep learning.（文本语义检索、以图搜图、语义搜图、...
《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville
I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101
Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA...
Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2...
About Muti-Label Text Classification Based on Neural Network.
A library for high performance deep learning inference on NVIDIA GPUs.
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
Keras package for region-based convolutional neural networks (RCNNs)
Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper
(WIP) A small but powerful, homemade PyTorch from scratch.
🖖 Train an artificial intelligence to play tinder for you
code and docs for my EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"
tensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT, LLM과 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.
Real-time Joint Semantic Reasoning for Autonomous Driving
TypeDB-ML is the Machine Learning integrations library for TypeDB