machine-learning

Quantitative analysis, strategies and backtests

High-performance runtime for data analytics applications

The Python Code Tutorials

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

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

A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)

FFCV: Fast Forward Computer Vision (and other ML workloads!)

Neural network visualization toolkit for keras

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

List of articles related to deep learning applied to music

C++ DataFrame for statistical, financial, and ML analysis in modern C++

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

MITIE: library and tools for information extraction

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

AI based multi-label girl image classification system, implemented by using TensorFlow.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Data manipulation and transformation for audio signal processing, powered by PyTorch

A Hyperparameter Tuning Library for Keras