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Discover 1,001 open source projects
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wzhe06/Ad-papers
Collection of research papers on computational advertising techniques like CTR prediction and recommender systems.
janhuenermann/neurojs
A JavaScript library for deep learning and reinforcement learning, with applications in areas like self-driving cars.
rom1504/img2dataset
Easily convert large sets of image URLs into a dataset for AI/ML training and experimentation.
Azure/MachineLearningNotebooks
A collection of Python notebooks with machine learning and deep learning examples using the Azure ML SDK.
pytorch/serve
Serves, optimizes, and scales PyTorch models for production use
dsgiitr/d2l-pytorch
This project reproduces the book 'Dive Into Deep Learning' by adapting the code from MXNet into PyTorch.
OpenNMT/CTranslate2
Fast C++ inference engine for Transformer models, supporting CUDA, MKL, and other optimizations.
LLMBook-zh/LLMBook-zh.github.io
This repository contains the book 'Large Language Models' authored by a team of researchers.
fundamentalvision/BEVFormer
An open-source, camera-only framework for autonomous driving perception tasks like 3D object detection and semantic map segmentation.
zjunlp/DeepKE
An open toolkit for knowledge graph extraction and construction in Python.
truefoundry/cognita
A RAG (Retrieval Augmented Generation) framework for building modular, open-source AI applications by TrueFoundry.
opendilab/awesome-RLHF
A curated list of resources for reinforcement learning with human feedback (RLHF), a key technique for developing AI systems.
onnxsim/onnxsim
A C++ library that simplifies ONNX models, useful for deep learning and AI developers.
microsoft/FLAML
A fast library for AutoML and hyperparameter tuning that can be used for various machine learning tasks.
RUCAIBox/RecBole
A unified, comprehensive and efficient recommendation library for building recommendation systems.
HumanSignal/awesome-data-labeling
A curated list of awesome data labeling tools for developers working with AI and computer vision.
ourownstory/neural_prophet
NeuralProphet is a simple forecasting package that uses neural networks and time series analysis to make predictions.
apachecn/pytorch-doc-zh
A comprehensive collection of PyTorch documentation translated to Chinese for easy access to the framework.
FedML-AI/FedML
A unified and scalable ML library for large-scale distributed training, model serving, and federated learning.
Nixtla/neuralforecast
Scalable neural forecasting algorithms for time-series data, with support for various deep learning models.
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