TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
ncnn is a high-performance neural network inference framework optimized for the mobile platform
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure
Interactive deep learning book with multi-framework code, math, and discussions
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation
An implementation of the paper: "Gated Slot Attention for Efficient Linear-Time Sequence Modeling" in PyTorch
building a machine learning model to classify handwritten digits using the MNIST dataset
In this learning path, you will be able to learn the basic concepts of Deep Leaning and TensorFlow
Federated Learning Simulation on a Single GPU with Model Interpretability and Interactive Visualization
with keras data set we load a data base and train our machine for test
Personal tasks or codes of Machine Learning and Artificial Intelligence
AI Champions for Excellence: Fresh, informative courses and content designed to help developers, researchers, and leaders advance in the field of AI
How to build a Docker container with tensorflow, Spyder IDE, jupyter etc
A deep learning project for sentiment analysis on tweets, classifying them into positive, negative, or neutral sentiments
Installation of OpenCV on JetsonNano with CUDA support
Airflower adds intelligent decision-making to Apache Airflow by capturing real-time metadata through listeners and sending it to an external brain via gRPC
Image classification project using machine learning, CNN, and transfer learning
Long Short-Term Memory (LSTM) model to predict emojis based on the input sentence
Python code for the book 'Wireless Communications and Machine Learning' by Le Liang, Shi Jin, and Geoffrey Ye Li
Repository for Computer Vision project - 2024
The TF Gym repo shares daily TensorFlow projects on ML/DL, including RL, providing educational resources for beginners and practical examples for experienced users with detailed instructions for applications like image classification and text generation