Neuralforecast
Nixtla
Scalable and user friendly neural :brain: forecasting algorithms.
OPENAGENTSKILL / DIRECTORY
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
1–16 / 35
Results: 35
Nixtla
Scalable and user friendly neural :brain: forecasting algorithms.
labmlai
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…
satellite-image-deep-learning
Techniques for deep learning with satellite & aerial imagery
jeffheaton
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
qualcomm
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PaddlePaddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
Unity-Technologies
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agen…
pytorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
deepspeedai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
fangwei123456
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
philipperemy
Keras Temporal Convolutional Network. Supports Python and R.
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
No external entries match this query.