Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Website of the ICRA 2024 workshop on probabilistic robotics.
This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.
AI book for everyone
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
My github page
Visualizer for neural network, deep learning and machine learning models
a structured 3-year Applied AI Bachelor degree path involves covering foundational courses, specialized AI topics, practical applications, and supplementary resources
A structured 3-year curriculum for data science, covering foundational, intermediate, and advanced topics
Collection of Open Source Projects Related to GPT，GPT相关开源项目合集🚀、精选🔥🔥
Create powerful Hydra applications without the yaml files and boilerplate code.
The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
Fraud Detection for VoIP. Use SentryPeer® HQ to help prevent VoIP cyberattacks and fraudulent VoIP phone calls (toll fraud) at https://sentrypeer.com
Kedro plugin to support running workflows on Microsoft Azure ML Pipelines
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
Code for paper: Discovering Prominent Differences in Structural and Functional Connectomes Using a Multinomial Stochastic Block Model
AI embodiment employing a Unified Theory of Mind (UTOM) incorporating aspects of consciousness, intuition, imagination, emotion, and social awareness. This AI entity, named WholeBrainedIntelligence (WBI), synthesizes disparate faculties into a coherent, internally consistent whole:
SSVC Ore Miner - www.rapticore.com
Machine learning and deep learning tutorials, articles and other resources. With repository stars⭐ and forks🍴