Lit
PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
OPENAGENTSKILL / DIRECTORY
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Results: 11
PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
mlabonne
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
stanfordmlgroup
Natural Gradient Boosting for Probabilistic Prediction
explosion
💫 Industrial-strength Natural Language Processing (NLP) in Python
asyml
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
openai
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
bitsandbytes-foundation
Accessible large language models via k-bit quantization for PyTorch.
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…
mcmonkeyprojects
SwarmUI (formerly StableSwarmUI), A Modular Stable Diffusion Web-User-Interface, with an emphasis on making powertools easily accessible, high performance, and extensibi…
kyegomez
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
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