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Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Russian GPT3 models.

Interpretability and explainability of data and machine learning models

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Python AutoML for Trading Systems and Sports Betting

BirdNET analyzer for scientific audio data processing.

Synthetic data curation for post-training and structured data extraction

An offline deep reinforcement learning library

Synthetic data generators for tabular and time-series data

Hyperparameter Experiments with TensorFlow and Keras

Keras community contributions

Distributed Deep learning with Keras & Spark

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

A Data Streaming Library for Efficient Neural Network Training

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

MLBox is a powerful Automated Machine Learning python library.

OpenMMLab Foundational Library for Training Deep Learning Models

A Graph Neural Network Library in Jax

Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥

code for deep learning courses

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

A JavaScript library like PyTorch, with GPU acceleration.

Portfolio optimization with deep learning.

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

FAIR Sequence Modeling Toolkit 2

An autoML framework & toolkit for machine learning on graphs.

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/