Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
- machine-learning
- scikit-learn
- statistical-learning
- xgboost
Repository Index
68,760 visible repositories in the index
1,585–1,608 of 2,847 · Most stars
Devops Tutorial for Beginners - Learn Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops
- azure-devops
- learn-devops
- kubernetes
- devops-course
List of articles related to deep learning applied to music
- awesome
- awesome-list
- unicorns
- list
C++ DataFrame for statistical, financial, and ML analysis in modern C++
- numerical-analysis
- dataframe
- data-analysis
- multidimensional-data
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
- deep-learning
- jax
- neural-networks
- equinox
A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
- tacotron
- tensorflow
- speech-synthesis
- python
The repository host gives no description.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
- pytorch
- graph-neural-networks
- temporal-networks
- temporal-graphs
FFCV: Fast Forward Computer Vision (and other ML workloads!)
A cross-platform video structuring (video analysis) framework based on CV models & mLLM.
Neural network visualization toolkit for keras
- visualization
- keras
- deep-learning
- theano
The hub for EleutherAI's work on interpretability and learning dynamics
A comprehensive quantitative trading system with AI-powered analysis, real-time data processing, and advanced risk management
- machine-learning
- python
- quantitative-trading
Flops counter for neural networks in pytorch framework
- pytorch
- pytorch-cnn
- deep-neural-networks
- deeplearning
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
- adversarial-examples
- machine-learning
- python
- adversarial-attacks
Open Content for self-directed learning in data science
Practical bilingual AI prompt library for prompt engineering, work, learning, content, marketing, and everyday use.
- ai
- chinese-prompts
- geo
- prompt-engineering
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
- neural-network
- computer-vision
- sparse-tensors
- convolutional-neural-networks
CainCamera is an Android Project to learn about development of beauty camera, image and short video
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
- machine-learning
- awesome-list
- neurips
- neurips-2020
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
- machine-learning
- pascal-voc
- average-precision
- ground-truth
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
- deep-learning
- machine-learning
- machine-learning-algorithms
- artificial-intelligence
Introduction to Deep Neural Networks with Keras and Tensorflow
- tensorflow
- python
- tutorial
- deep-learning
Data manipulation and transformation for audio signal processing, powered by PyTorch
- audio
- python
- io
- speech