Vision
pytorch
Datasets, Transforms and Models specific to Computer Vision
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Results: 15
pytorch
Datasets, Transforms and Models specific to Computer Vision
google-research
Shared repository for open-sourced projects from the Google AI Language team.
mlabonne
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
jacobgil
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
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…
flairNLP
A very simple framework for state-of-the-art Natural Language Processing (NLP)
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…
openai
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
explosion
💫 Industrial-strength Natural Language Processing (NLP) in Python
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…
kyegomez
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
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