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.
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Updated
Jun 11, 2024 - Python
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.
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.
Projeto de people analytics, utilizando machine learning na clusterização de dados de funcionários que poderão deixar a empresa.
A REST API to serve machine learning and deep learning models
My first ML sandbox
Machine Learning MLB Moneyline Betting Algorithm
The machine learning toolkit for time series analysis in Python
Will be updating work done by me in Machine Learning
Data Analysis and Data Science Portfolio Projects
Community version of quantitative backtesting framework
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
Generate Art
HeFlwr: Federated Learning for Heterogeneous Devices
Fraud Detection for VoIP. Use SentryPeer® HQ to help prevent VoIP cyberattacks and fraudulent VoIP phone calls (toll fraud) at https://sentrypeer.com
AI on Hadoop
Bringing heterogenous hardware acceleration to Kotlin machine learning
101 Super Streamlit Applications-This interactive web application collection serves as a showcase of my data science and machine learning projects. With a passion for data-driven insights and a knack for creating engaging data applications, I am excited to present this portfolio as a demonstration of my skills and expertise.
Chatbot developed with Gemini API.
Visualizer for neural network, deep learning and machine learning models
Collection of Open Source Projects Related to GPT,GPT相关开源项目合集🚀、精选🔥🔥
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.