jeffreyupton
Follow
Machine learning
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
Recurrent Neural Network - A curated list of resources dedicated to RNN
The Generative AI Landscape - A Collection of Awesome Generative AI Applications
A curated list of awesome big data frameworks, ressources and other awesomeness.
machine learning and deep learning tutorials, articles and other resources
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
📖 A curated list of resources dedicated to Natural Language Processing (NLP)
500 AI Machine learning Deep learning Computer vision NLP Projects with code
A curated list of Blockchain projects for Artificial Intelligence and Machine Learning
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome Deep Learning tutorials, projects and communities.
TensorFlow - A curated list of dedicated resources http://tensorflow.org
A curated list of deep learning resources for computer vision
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Awesome-LLM: a curated list of Large Language Model
A topic-centric list of HQ open datasets.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
A curated list of awesome datasets for SLAM
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.