AI book for everyone
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Updated
Jun 7, 2024 - Jupyter Notebook
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.
AI book for everyone
A REST API to serve machine learning and deep learning models
"Better Call Saul (Lawyer-GPT)" is a Generative AI model created for the purpose of providing legal advice for user queries on legal issues. It was developed during the GDSC Hackathon 2023.
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.
nannyml: post-deployment data science in python
Comparison-based Machine Learning in Python
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🔥🔥
In this repository, I have curated all the materials I used to study Machine learning Algorithms.
Streamline a data analysis process
Repository for my jekyll blog
NSFW detection on the client-side via TensorFlow.js
This repository contains the Jupyter notebooks I create to back up the stories I publish on Medium.com
A Python package for mitigating bias in tabular data.
This repository contains scripts which I have written during Machine Learning A-Z course.
HeFlwr: Federated Learning for Heterogeneous Devices
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
AI on Hadoop
Machine learning and deep learning tutorials, articles and other resources. With repository stars⭐ and forks🍴
A curated list of awesome Machine Learning frameworks, libraries and software. With repository stars⭐ and forks🍴