ML-University
Awesome-Diffusion-Models
ML-University | Awesome-Diffusion-Models | |
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6 | 6 | |
796 | 10,064 | |
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3.4 | 6.1 | |
7 months ago | 2 months ago | |
HTML | HTML | |
- | MIT License |
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ML-University
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Daily Ask Anything: 2022-07-18
For ML: Free ML University is a fantastic resource. I also really like Andrew Ng's courses on Coursera.
- From where can I learn Data Science?
- A Clear roadmap to complete learning AI/ML by the end of 2022 from ZERO
- What to learn next?
- How to start learning ML
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Free resource for Learning Machine Learning/ DL / NLP
Here is the link for the same repo: ML-University
Awesome-Diffusion-Models
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Ask HN: How do you catch up to the research of LLMs/Transformers etc.?
3. https://github.com/diff-usion/Awesome-Diffusion-Models
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Awesome-Diffusion-Models
GitHub repository that contains a collection of resources and papers on Diffusion Models: https://github.com/heejkoo/Awesome-Diffusion-Models
- GitHub - heejkoo/Awesome-Diffusion-Models: A collection of resources and papers on Diffusion Models and Score-matching Models, a darkhorse in the field of Generative Models
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Wiskkey's lists of text-to-image systems and related resources
(Added Apr. 10, 2022) Awesome Diffusion Models.
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[D] Introduction to Diffusion Models
I certainly should have looked for a lucidrains implementation, but I also found https://github.com/heejkoo/Awesome-Diffusion-Models which had some helpful links too.
What are some alternatives?
ai-deadlines - :alarm_clock: AI conference deadline countdowns
denoising-diffusion-pytorch - Implementation of Denoising Diffusion Probabilistic Model in Pytorch
overlays - MarketerBay Overlays. Sandbox open source projects.
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch - [ECCV 2022] Compositional Generation using Diffusion Models
human-memory - Course materials for Dartmouth course: Human Memory (PSYC 51.09)
dalle-mini - DALLĀ·E Mini - Generate images from a text prompt
golang-training - Golang for Backend Developer with Nordic Coder
papers-I-read - A-Paper-A-Week
CS7038-Malware-Analysis - Course Repository for University of Cincinnati Malware Analysis Class (CS[567]038)
MachineLearning-BaseballPrediction-BlazorApp - Machine Learning over historical baseball data using latest Microsoft AI & Development technology stack (.Net Core & Blazor)
Recognition-of-logical-document-structures - First approach for recognizing logical document structures like texts, sentences, segments, words, chars and sentence/segment depth based on recurrent neural network grammars.
CogView2 - official code repo for paper "CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers"