OPENAGENTSKILL / DIRECTORY
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Results: 43
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…
mlabonne
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
pyro-ppl
Deep universal probabilistic programming with Python and PyTorch
amazon-science
Chronos: Pretrained Models for Time Series Forecasting
tensorflow
Probabilistic reasoning and statistical analysis in TensorFlow
bghira
A general fine-tuning kit geared toward image/video/audio diffusion models.
probcomp
A general-purpose probabilistic programming system with programmable inference
pytorch
Datasets, Transforms and Models specific to Computer Vision
huggingface
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
lutzroeder
Visualizer for neural network, deep learning and machine learning models
uber
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
huggingface
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
tensorflow
A WebGL accelerated JavaScript library for training and deploying ML models.
wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
ludwig-ai
Low-code framework for building custom LLMs, neural networks, and other AI models
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