OPENAGENTSKILL / DIRECTORY
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Results: 40
lutzroeder
Visualizer for neural network, deep learning and machine learning models
ultralytics
Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
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.
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…
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
ultralytics
Ultralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite
eriklindernoren
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from li…
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…
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