OPENAGENTSKILL / DIRECTORY
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Results: 38
mlabonne
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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
bghira
A general fine-tuning kit geared toward image/video/audio diffusion models.
GoogleCloudPlatform
Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
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
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
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…
xorbitsai
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all throug…
bitsandbytes-foundation
Accessible large language models via k-bit quantization for PyTorch.
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