Explore Projects
Discover 60 open source projects
Showing 21-40 of 60 projects
humphd/have-fun-with-machine-learning
A beginner's guide to machine learning and image classification with neural networks in Python.
weiaicunzai/pytorch-cifar100
A PyTorch repository for practicing image classification on the CIFAR-100 dataset using various deep learning models.
quark0/darts
A differentiable architecture search library for convolutional and recurrent neural networks
open-mmlab/mmpretrain
A pre-training toolbox and benchmark for vision AI models, including self-supervised learning and state-of-the-art architectures.
catalyst-team/catalyst
Catalyst is an accelerated deep learning R&D library for Python that supports a variety of AI and machine learning use cases.
weslynn/AlphaTree-graphic-deep-neural-network
This repository provides a roadmap and code samples for machine learning, deep learning, and related AI technologies.
autodistill/autodistill
An AI-powered tool for training supervised models without manual labeling, using foundation models and multimodal learning.
jolibrain/deepdetect
A C++ API and server for deep learning that supports popular frameworks like PyTorch, TensorFlow, and XGBoost.
milvus-io/bootcamp
This GitHub repository provides a Bootcamp for dealing with unstructured data like reverse image search, audio search, and NLP.
pa7/nude.js
A JavaScript library for detecting nudity in images using HTML Canvas.
ufoym/imbalanced-dataset-sampler
An imbalanced dataset sampler for PyTorch that oversamples low-frequency classes and undersamples high-frequency ones.
ailia-ai/ailia-models
A collection of pre-trained, state-of-the-art AI models for the ailia SDK, supporting a wide range of computer vision and natural language processing tasks.
extreme-assistant/ICCV2023-Paper-Code-Interpretation
A curated collection of ICCV conference papers, code, and interpretations for computer vision developers.
neuralmagic/sparseml
SparseML provides a library for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models.
Fafa-DL/Awesome-Backbones
A project that provides a collection of pre-trained deep learning models for image classification tasks.
visual-layer/fastdup
Accelerate data curation and augmentation with this scalable, free tool for image and video analysis.
laugh12321/TensorRT-YOLO
A toolkit for easier and faster deployment of YOLO (You Only Look Once) object detection models using NVIDIA TensorRT.
YunYang1994/TensorFlow2.0-Examples
A collection of TensorFlow 2.0 examples for deep learning, computer vision, and more.
john-rocky/CoreML-Models
Converted CoreML Model Zoo - a collection of pre-trained machine learning models for iOS apps.
kakaobrain/fast-autoaugment
Fast AutoAugment is an official PyTorch implementation for automatic data augmentation.
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