TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
Techniques for deep learning with satellite & aerial imagery
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
TensorFlow-based neural network library
Deep learning library featuring a higher-level API for TensorFlow.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Containers for machine learning
AutoML library for deep learning
TensorFlow Tutorials with YouTube Videos
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
TensorFlow tutorials and best practices.
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
A collection of libraries to optimise AI model performances
TensorFlow examples
告别枯燥,致力于打造 Python 实用小例子,更多Python良心教程见 https://ai-jupyter.com
all kinds of text classification models and more with deep learning
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
The "Python Machine Learning (2nd edition)" book code repository and info resource
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Alluxio, data orchestration for analytics and machine learning in the cloud
Python code for "Probabilistic Machine learning" book by Kevin Murphy
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
An open source library for deep learning end-to-end dialog systems and chatbots.
AI + Data, online. https://vespa.ai
Flower: A Friendly Federated AI Framework
A course in reinforcement learning in the wild
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,...
A flexible, high-performance serving system for machine learning models
TensorFlow documentation
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Setup and customize deep learning environment in seconds.
Code for Tensorflow Machine Learning Cookbook
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Swift for TensorFlow
A list of popular github projects related to deep learning
High Performance Chinese License Plate Recognition Framework.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
🎛 🔊 A Python library for audio.
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models...
A curated list of project tutorials for project-based learning.
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis