TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
[NeurIPS 2024] Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art
Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).
The full collection of all codes for my Youtube Channel segregated as per topic.
A Survey and Taxonomy of the Recent GANs Development,computer vision & time series
Keras Layer implementation of Attention for Sequential models
XR Blocks is a lightweight WebXR + AI library for rapidly prototyping advanced AI + XR experiences.
A visual search engine based on Elasticsearch and Tensorflow
TensorFlow examples in C, C++, Go and Python without bazel but with cmake and FindTensorFlow.cmake
Source code for my blog post "Getting started with TensorFlow on iOS"
Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price action.
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。
Trading with recurrent actor-critic reinforcement learning
All-in-one AI container for rapid prototyping
Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018
A wizard's guide to Adversarial Autoencoders
Image quality is an open source software library for Image Quality Assessment (IQA).
Sparse Blocks Networks
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...
Understanding emotions from audio files using neural networks and multiple datasets.
Providing reproducibility in deep learning frameworks
Attention OCR Based On 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。
A Thai word tokenization library using Deep Neural Network
Play games without touching keyboard
Facial Expression Recognition with a deep neural network as a PyPI package
RMDL: Random Multimodel Deep Learning for Classification
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……
Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow...
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Reimplementation of GANs
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This...
The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.
Char-RNN implemented using TensorFlow.
Reinforcement learning with unsupervised auxiliary tasks
An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
[unmaintained]
🤖 Deep Reinforcement Learning Chatbot
PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image
Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)
The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
Text Classification Library in Keras
R2CNN: Rotational Region CNN Based on FPN (Tensorflow)
DistilBERT / GPT-2 for on-device inference thanks to TensorFlow Lite with Android demo apps
Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store...
FedScale is a scalable and extensible open-source federated learning (FL) platform.
Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.
Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
Simple and flexible ML workflow engine
Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training