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🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
TemporAI: ML-centric Toolkit for Medical Time Series
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
Python 3.8 toolbox for submitting jobs to Slurm
A python library for self-supervised learning on images.
TOD: GPU-accelerated Outlier Detection via Tensor Operations
Self-Supervised Speech Pre-training and Representation Learning Toolkit
jless is a command-line JSON viewer designed for reading, exploring, and searching through JSON data.
Jupyter notebooks for the Natural Language Processing with Transformers book
DeepDiff: Deep Difference and search of any Python object/data. DeepHash: Hash of any object based on its contents. Delta: Use deltas to reconstruct objects by adding deltas together.
A curated list of awesome article, tutorial, library, webpage, etc.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A PyTorch implementation of DNN-based source separation.
Flops counter for convolutional networks in pytorch framework
Wavelet scattering transforms in Python with GPU acceleration
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation
The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.
Approaching (Almost) Any Machine Learning Problem
Python code for "Probabilistic Machine learning" book by Kevin Murphy
System design patterns for machine learning