Vision
pytorch
Datasets, Transforms and Models specific to Computer Vision
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Results: 22
pytorch
Datasets, Transforms and Models specific to Computer Vision
mlabonne
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Robbyant
Advancing Open-source World Models
bghira
A general fine-tuning kit geared toward image/video/audio diffusion models.
riddleling
An iOS OCR Server Using Apple’s Vision Framework
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit…
Wan-Video
Wan: Open and Advanced Large-Scale Video Generative Models
bitsandbytes-foundation
Accessible large language models via k-bit quantization for PyTorch.
PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
NVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
huggingface
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
meta-pytorch
Training PyTorch models with differential privacy
NVIDIA-AI-Blueprints
The NVIDIA VSS Blueprint is a suite of reference architectures for building GPU-accelerated vision agents and AI-powered video analytics applications.
GreyDGL
Automated Penetration Testing Agentic Framework Powered by Large Language Models
openinterpreter
A lightweight coding agent for open models like Deepseek, Kimi, and Qwen
dzhng
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of th…