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A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Learn ML engineering for free in 4 months!
Quantitative Interview Preparation Guide, updated version here ==>
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
If you can measure it, consider it predicted
Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
Using Low-rank adaptation to quickly fine-tune diffusion models.
⚡️ Python client for the unofficial ChatGPT API with auto token regeneration, conversation tracking, proxy support and more.
This is a Gradio WebUI working with the Diffusers format of Stable Diffusion
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and much more!
LAVIS - A One-stop Library for Language-Vision Intelligence
fast-stable-diffusion + DreamBooth
A repository for the graduation work on FAMCS BSU, specialty Computer Security
Real-time Object Detection for Streaming Perception, CVPR 2022
Models and examples built with TensorFlow