NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
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Build Graph Nets in Tensorflow
- graph-networks
- graphs
- deep-learning
- neural-networks
NVIDIA cuML: GPU-Accelerated Machine Learning
- machine-learning-algorithms
- machine-learning
- cuda
- gpu
A PyTorch Library for Accelerating 3D Deep Learning Research
- pytorch
- 3d-deep-learning
- neural-networks
- differentiable-rendering
A library of extension and helper modules for Python's data analysis and machine learning libraries.
- python
- machine-learning
- data-science
- data-mining
Image augmentation library in Python for machine learning.
- augmentation
- machine-learning
- deep-learning
- neural-networks
A Python implementation of LightFM, a hybrid recommendation algorithm.
- machine-learning
- recommender
- python
- matrix-factorization
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
On-device wake word detection powered by deep learning
- wake-word-detection
- hotword
- keyword-spotting
- keyword-spotter
Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
- keras
- deep-learning
- text-generation
- tensorflow
[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild
- llm
- code-generation
- executable-langauge-grounding
- language-model
A collection of important graph embedding, classification and representation learning papers with implementations.
- graph2vec
- classification-algorithm
- graph-kernels
- weisfeiler-lehman
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
:satellite: All You Need to Know About Deep Learning - A kick-starter
A unified, comprehensive and efficient recommendation library
- recommender-systems
- collaborative-filtering
- knowledge-graph
- ctr-prediction
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Visual analysis and diagnostic tools to facilitate machine learning model selection.
- machine-learning
- visual-analysis
- model-selection
- visualization
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
- python
- machine-learning
- infrastructure
- reproducible-research
TranslatedAn open-source AI agent for social media — discover trends, create content, publish everywhere, and learn what works across Xiaohongshu, Douyin, Zhihu, Bilibili, and more.🎨
- agent
- agent-skill
- content-automation
- content-creation
modular quant framework.
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
Visual localization made easy with hloc
- deep-learning
- visual-localization
- feature-matching
- image-retrieval
Deep Learning Tutorial notes and code. See the wiki for more info.