tensorflow
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Repositories (1194)
Computer vision based ML training data generation tool :rocket:
collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorit...
💬 Slides and supplementary codes for my talk 'Debugging Tips on TensorFlow' (2016)
A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
Image Acquisition Library for GenICam-based Machine Vision System
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Completed the CS231n 2017 spring assignments from Stanford university
Classify music genre from a 10 second sound stream using a Neural Network.
"Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions", ACM Multimedia 2020
CRF-RNN Keras/Tensorflow version
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
Generative Adversarial Text to Image Synthesis / Please Star -->
TensorFlow2教程 TensorFlow 2.0 Tutorial 入门教程实战案例
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
Build high-performance AI models with modular building blocks
Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations using user-defined labels
Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0...
Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willi...
Notes for Deep Learning Specialization Courses led by Andrew Ng.
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (V...
Rock, Paper, Scissors, Lizard, Spock - Sample Application
Estimate absolute 3D human poses from RGB images.
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
The SSBM "Phillip" AI.
Node.js + TensorFlow
Asynchronous Methods for Deep Reinforcement Learning
DeMoN: Depth and Motion Network
PyTorch and Tensorflow functional model definitions
QKeras: a quantization deep learning library for Tensorflow Keras
Rotational region detection based on Faster-RCNN.
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
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、...
用PaddlePaddle和Tensorflow实现常用的深度学习算法
tensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT, LLM과 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.
TensorFlow Node.js provides idiomatic JavaScript language bindings and a high layer API for Node.js users. TensorFlow Node.js provides idiomatic JavaS...
A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)
a tensorflow implementation of WGAN
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
Tensorflow Implementation of R-Net
Implementation of a Tensor Processing Unit for embedded systems and the IoT.
TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Medical Q&A with Deep Language Models
Image Recognition captcha without image segmentation 无需图片分割的验证码识别
SiamFC tracking in TensorFlow.
real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA...
A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
Predict chessboard FEN layouts from images using TensorFlow