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SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
Inference and training library for high-quality TTS models.
DSPy: The framework for programming—not prompting—language models
NERSC RAPIDS Workshop 2020
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
Notebooks for the "A walk with fastai2" Study Group and Lecture Series
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
🐳 A curated list of Docker resources and projects
Code for a tutorial on Bayesian Statistics by Allen Downey.
Tutorial Sessions for SciPy Con 2019
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
TensorFlow code and pre-trained models for BERT
A model-agnostic visual debugging tool for machine learning
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models