tensorflow
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Repositories (1189)
Provide an input CSV and a target field to predict, generate a model + code to run it.
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!
1st place solution
The deeplearning algorithms implemented by tensorflow
A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there,...
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
Try out deep learning models online on Google Colab
Speedy Wavenet generation using dynamic programming :zap:
License Plate Detection and Recognition in Unconstrained Scenarios
A free, open source, and privacy-focused browser extension to block “not safe for work” content built using TypeScript and TensorFlow.js.
AI on Hadoop
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
Python AutoML for Trading Systems and Sports Betting
Labelbox is the fastest way to annotate data to build and ship computer vision applications.
CakeChat: Emotional Generative Dialog System
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
🙄 Difficult algorithm, Simple code.
GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Automated Machine Learning on Kubernetes
TensorLy: Tensor Learning in Python.
Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow
A state-of-the-art semi-supervised method for image recognition
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
MobileNet build with Tensorflow
[UNMAINTAINED] Automated machine learning for analytics & production
General code to convert a trained keras model into an inference tensorflow model
Pre-Trained Chinese XLNet（中文XLNet预训练模型）
Hyperparameter Experiments with TensorFlow and Keras
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificat...
NBA sports betting using machine learning
Collection of google colaboratory notebooks for fast and easy experiments
Deep learning gateway on Raspberry Pi and other edge devices
DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/
TensorFlow implementation of Deep Reinforcement Learning papers
Keras community contributions
High-performance automatic differentiation of LLVM and MLIR.
self-driving MarioKart with TensorFlow
High-level Deep Learning Framework written in Kotlin and inspired by Keras
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
make ASCII Art by Deep Learning
High-quality implementations of standard and SOTA methods on a variety of tasks.
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and use...