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Discover 4,064 open source projects
Showing 1461-1480 of 4,064 projects
ben1234560/AiLearning-Theory-Applying
Interactive learning app for AI theory and applications, with Jupyter Notebook examples.
TJU-DRL-LAB/AI-Optimizer
The next generation deep reinforcement learning toolkit for AI researchers and developers.
towhee-io/towhee
A fast and simple framework for building neural data processing pipelines using Python.
PaddlePaddle/PARL
A high-performance distributed training framework for Reinforcement Learning in Python
DingXiaoH/RepVGG
A high-performance deep learning architecture that improves upon the classic VGG model.
tensorflow/adanet
A flexible AutoML framework with learning guarantees for building high-performance AI models.
avinashkranjan/Amazing-Python-Scripts
A curated collection of Python scripts from basics to advanced, including automation tasks.
jaymody/picoGPT
An extremely lightweight implementation of GPT-2 in NumPy, useful for vibe coders building AI-powered apps.
PKU-YuanGroup/Video-LLaVA
A large-scale vision-language model for video understanding and generation.
cycleuser/Stanford-CS-229
A Chinese translation of Stanford's CS229 machine learning course materials.
ethen8181/machine-learning
Machine learning tutorials in Python3 for data science and deep learning
astaxie/go-best-practice
A collection of 100+ Go projects covering various categories to help developers learn and improve their Go skills.
neuraloperator/neuraloperator
A library for developing neural operators using Fourier methods and PyTorch, enabling efficient learning on infinite dimensional spaces.
fofapro/vulfocus
A self-contained Docker-based platform for security researchers to explore and learn about vulnerabilities.
vinaygaba/Learn-Jetpack-Compose-By-Example
A Kotlin-based project with various examples demonstrating Jetpack Compose, a declarative UI toolkit for Android.
cszn/KAIR
Image Restoration Toolbox with PyTorch-based training and testing codes for various AI-powered restoration models.
dair-ai/ML-Notebooks
A collection of Jupyter Notebooks providing tutorials and examples for machine learning and deep learning using Python and PyTorch.
hyperai/tvm-cn
This repository provides the Chinese Simplified documentation for the TVM (Tensor Virtual Machine) framework, a popular open-source deep learning compiler stack.
sdv-dev/SDV
Generates synthetic tabular data for machine learning and AI applications
data-science-on-aws/data-science-on-aws
This GitHub repository provides AI and Machine Learning tutorials and examples using Kubeflow, Amazon EKS, and SageMaker.
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