Showing 1301-1320 of 4,064 projects
A collection of implementations from a free course on deep reinforcement learning using TensorFlow and PyTorch.
A repository to research and share machine learning articles, with a focus on computer vision, NLP, and reinforcement learning.
Example code from the Learning Spark book, a resource for developers learning Spark.
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
A course on building a tiny vLLM (virtual Large Language Model) and Qwen inference serving on Apple Silicon for systems engineers.
A Ruby-based game for learning the Ruby programming language.
This repository is likely a library or CLI tool for machine learning and AI development in Python.
A collection of useful Python functions, tutorials, and other resources for learning and improving Python skills.
A no-code machine learning exploration tool that lets developers learn about ML without coding.
PyTorch implementation of popular reinforcement learning algorithms like A2C, PPO, ACKTR and GAIL for developers.
A Python library for reinforcement learning environments and evaluations targeted at AI-focused developers.
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
A Matlab/Octave toolbox for building deep learning models, including neural nets, autoencoders, and CNNs.
A high-performance deep learning framework for training and deploying neural networks on various hardware.
List of satellite image training datasets with annotations for computer vision and deep learning
Lasagne is a lightweight library for building and training neural networks in Theano, a powerful Python library for machine learning.
An all-in-one Docker image for deep learning with popular DL frameworks like TensorFlow, Theano, Torch, and Caffe.
A simple and beautiful Java-based blogging system built with Spring Boot, Mybatis, and Thymeleaf.
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters for distributed machine learning.
Facilitates the design, comparison, and sharing of deep text matching models for NLP applications.
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