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.

Mambular is a Python package that brings the power of Mamba architectures to tabular data, offering a suite of deep learning models for regression, classification, and distributional regression tasks.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Machine learning and deep learning tutorials, articles and other resources. With repository stars⭐ and forks🍴

A next-generation dynamic and high-performance language for AI and IOT with natural born distributed computing ability.

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

Curated list of Python resources for data science.

Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques

A benchmark dataset collection for bird sound classification

Visualizer for neural network, deep learning and machine learning models

Demo applications showcasing DJL

🔥Highlighting the top ML papers every week.

This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.

🚀 ⭐ The list of the most popular YOLO algorithms - awesome YOLO

Deep Learning & AI Full Course | 60 Days of Deep Learning Sponsored by: www.aiquest.org

Effortless data labeling with AI support from Segment Anything and other awesome models.

Welcome to the Deep Learning 50 Days Challenge repository! This repository contains resources, code samples, and projects for a comprehensive 50-days deep learning journey.

PyTorch is an open-source machine learning library developed by Facebook's AI Research lab (FAIR). It is widely used for deep learning applications and is known for its ease of use, flexibility, and dynamic computation graph, which allows for more intuitive and flexible model building compared to static graph frameworks like TensorFlow.