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Synthetic data curation for post-training and structured data extraction

BirdNET analyzer for scientific audio data processing.

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

A Data Streaming Library for Efficient Neural Network Training

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

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

MLBox is a powerful Automated Machine Learning python library.

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

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

Build agents which are controlled by LLMs

allRank is a framework for training learning-to-rank neural models based on PyTorch.

Pretrained model hub for Keras 3.

Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A

Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more

Deep Learning for Coders, 2020, the website