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Discover 1,591 open source projects
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pierluigiferrari/ssd_keras
A Keras port of the Single Shot MultiBox Detector, a deep learning-based object detection model.
hexiangnan/neural_collaborative_filtering
This repository provides a neural collaborative filtering library for building recommender systems.
LMD0311/Awesome-World-Model
A collection of world models for autonomous driving and robotic papers
thunil/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, focused on TUM-I15 and beyond.
syhw/wer_are_we
An open-source library for tracking the state of the art and recent results in speech recognition research.
flexflow/flexflow-train
Automatically discover fast parallelization strategies for distributed deep neural network training.
MrNothing/AI-Blocks
A powerful WYSIWYG interface for creating Machine Learning models without writing code.
goodfeli/dlbook_notation
LaTeX files for the Deep Learning book notation, a valuable resource for developers working on AI projects.
matthewearl/deep-anpr
A Python library that uses neural networks to build an automatic number plate recognition system.
imbue-bit/AlphaGPT
This Python project uses symbolic regression to efficiently extract factors in the Chinese stock and crypto markets.
krlvm/PowerTunnel-Android
Powerful and extensible proxy server with anti-censorship functionality for Android devices
yassouali/awesome-semi-supervised-learning
A curated list of awesome papers, methods, and resources for semi-supervised learning, a powerful machine learning technique.
ZhengyaoJiang/PGPortfolio
An open-source Python library for portfolio management using deep reinforcement learning
nlpodyssey/spago
Self-contained Machine Learning and Natural Language Processing library in Go
wq2012/awesome-diarization
A curated list of resources for speaker diarization, a speech processing task to identify who spoke when.
notadamking/RLTrader
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym.
VHellendoorn/Code-LMs
A Python guide to using pre-trained large language models (LLMs) for source code analysis and generation.
cbailes/awesome-deep-trading
A curated list of resources for machine learning-based algorithmic trading and quantitative finance.
xiaohu2015/DeepLearning_tutorials
A collection of tutorials and implementations for various deep learning algorithms using TensorFlow.
Awesome-Interview/Awesome-Interview
A curated collection of awesome resources for interview preparation, including coding challenges, practice questions, and more.
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