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)
为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序。
Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018
Sparse Blocks Networks
RMDL: Random Multimodel Deep Learning for Classification
Attention OCR Based On Tensorflow
深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……
The full collection of all codes for my Youtube Channel segregated as per topic.
A Thai word tokenization library using Deep Neural Network
Providing reproducibility in deep learning frameworks
Char-RNN implemented using TensorFlow.
🏫DeepLearning学习笔记以及Tensorflow、Pytorch的使用心得笔记。Dr. Sure会不定时往项目中添加他看到的最新的技术，欢迎批评指正。
Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow...
Reimplementation of GANs
This provides a sandbox simulator for training a self-driving car. This uses Unity for simulation and Python with Keras and Tensorflow for training. R...
Image quality is an open source software library for Image Quality Assessment (IQA).
Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)
R2CNN: Rotational Region CNN Based on FPN (Tensorflow)
Contains Solutions to Deep Learning Specailization - Coursera
[unmaintained]
Reinforcement learning with unsupervised auxiliary tasks
Simple and flexible ML workflow engine
The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
Text Classification Library in Keras
🤖 Deep Reinforcement Learning Chatbot
Understanding emotions from audio files using neural networks and multiple datasets.
Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.
Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Deep Reinforcement Learning Framework + Algorithms
Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training
A simple face detect and alignment method, which is easy and stable.
Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store...
PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image
A Tensorflow implementation of FPN detection framework.
DistilBERT / GPT-2 for on-device inference thanks to TensorFlow Lite with Android demo apps
An open-source tool for sequence learning in NLP built on TensorFlow.
Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)
State-of-the-art (ranked #1 Aug 2022) German Speech Recognition in 284 lines of C++. This is a 100% private 100% offline 100% free CLI tool.
通用深度学习推理工具，可在生产环境中快速上线由TensorFlow、PyTorch、Caffe框架训练出的深度学习模型。
Play games without touching keyboard
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This...
Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project pr...
TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
Sentence paraphrase generation at the sentence level
[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案
SqueezeNet implementation with Keras Framework
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
MLOps for AWS SageMaker