Neuralforecast
Nixtla
Scalable and user friendly neural :brain: forecasting algorithms.
OPENAGENTSKILL / DIRECTORY
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Results: 45
Nixtla
Scalable and user friendly neural :brain: forecasting algorithms.
tensorflow
A WebGL accelerated JavaScript library for training and deploying ML models.
roboflow
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge model…
tensorflow
A flexible, high-performance serving system for machine learning models
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
qualcomm
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
kyegomez
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
mlabonne
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
NVlabs
Instant neural graphics primitives: lightning fast NeRF and more
py-why
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 inferen…
amazon-science
Chronos: Pretrained Models for Time Series Forecasting
pytorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
jeffheaton
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
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