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Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers With advertising offers contact: @ai_adminn
Generative Models by Stability AI
source code: https://github.com/stability-ai/generative-models
paper: https://static1.squarespace.com/static/6213c340453c3f502425776e/t/655ce779b9d47d342a93c890/1700587395994/stable_video_diffusion.pdf
provided a streamlit demo for text-to-image and image-to-image sampling in scripts/demo/sampling.py. They provide file hashes for the complete file as well as for only the saved tensors in the file ( see Model Spec for a script to evaluate that).
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* PIPNet's precision in facial landmark detection with a record 2.6% NME on the 300W benchmark. Explore the model and its capabilities by visiting our GitHub repository.
Watch the performance showcase on YouTube. Support and star our project on GitHub for future advancements.
video: https://www.youtube.com/watch?v=cxi1WQr-HKE
source code: https://github.com/Shohruh72/PIPNet/tree/main
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This channels is for Programmers, Coders, Software Engineers.
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NanoSAM is a Segment Anything (SAM) model variant that is capable of running in 🔥 real-time 🔥 on NVIDIA Jetson Orin Platforms with NVIDIA TensorRT.
source code:https://github.com/NVIDIA-AI-IOT/nanosam
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Stanford University has just opened full access to CS224U. One of their immensely popular graduate-level Natural Language Understanding course taught by Professor Christopher Potts.
GitHub: https://github.com/cgpotts/cs224u
YouTube: https://youtube.com/playlist?list=PLoROMvodv4rOwvldxftJTmoR3kRcWkJBp
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CVPR 2022 Open Access...
Open Access versions, provided by the Computer Vision Foundation.
Except for the watermark, they are identical to the accepted versions; the final published version of the proceedings is available on IEEE Xplore.
https://openaccess.thecvf.com/CVPR2022?day=2022-06-21
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[CVPR 2022] PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision (Oral)
https://github.com/Garfield-kh/PoseTriplet
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If you are learning Machine Learning and wants to make end-to-end Machine Learning real-world projects, then this website can be a great resource for you.
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Realtime Object-aware Monocular Depth Estimation in Onboard Systems
Video Paper Bibtex
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Image Super Resolution - PyImageSearch
https://pyimagesearch.com/2022/02/14/image-super-resolution/
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321 Open Source Pytorch Implementation Software Projects
Free and open source pytorch implementation code projects including engines, APIs, generators, and tools.
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This channels is for Programmers, Coders, Software Engineers.
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VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
🤗🤗🤗 VideoCrafter is an open-source video generation and editing toolbox for crafting video content.
It currently includes the Text2Video and Image2Video models:
source code: https://github.com/ailab-cvc/videocrafter
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Harvard CS50 – Free Computer Science Course (2023 Edition)
Here are the lectures included in this course:
Lecture 0 - Scratch
Lecture 1 - C
Lecture 2 - Arrays
Lecture 3 - Algorithms
Lecture 4 - Memory
Lecture 5 - Data Structures
Lecture 6 - Python
Lecture 7 - SQL
Lecture 8 - HTML, CSS, JavaScript
Lecture 9 - Flask
Lecture 10 - Emoji
Cybersecurity
https://www.freecodecamp.org/news/harvard-university-cs50-computer-science-course-2023/
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Make your all writing and communications easy with Pismo writing assistant for Mac.
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Harvard CS109A #DataScience course materials — huge collection free & open!
1. Lecture notes
2. R code, #Python notebooks
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and more ...
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It will be really useful for you
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@Deeplearning_ai
EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks
Official PyTorch implementation of the CVPR 2022 paper.
Project page: https://nvlabs.github.io/eg3d/
Paper: https://arxiv.org/abs/2112.07945
Source code: https://github.com/NVlabs/eg3d
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Accelerate AI training in a few lines of code without changing the training setup.
https://github.com/nebuly-ai/nebulgym
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@Deeplearning_ai
At DAIR.AI we heart open education. We are excited to share some of the best and most recent machine learning courses available on YouTube.
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FLAG: Flow-based 3D Avatar Generation
from Sparse Observations.
𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
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✅Conditional distro of body pose
✅Exact pose likelihood process
✅Invertibility -> oracle latent code
[PAPER] [Project Page]
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@Deeplearning_ai
Multi Task Learning for 3D segmentation
Perception stack of an Autonomous Driving system often contains multiple neural networks working together to predict bounding boxes, segmentation maps, depth maps, lane lines etc. Having a separate neural network for each task creates an heavy impact on system's processing speed.
https://github.com/adithyagaurav/Multi_Task_Learning
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@Deeplearning_ai
Want to jump ahead in artificial intelligence and/or digital pathology? Excited to share that after 2+ years of development PathML 2.0 is out! An open source #computational #pathology software library created by Dana-Farber Cancer Institute/Harvard Medical School and Weill Cornell Medicine led by Massimo Loda to lower the barrier to entry to #digitalpathology and #artificialintelligence , and streamline all #imageanalysis or #deeplearning workflows.
⭐ Code: https://github.com/Dana-Farber-AIOS/pathml
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
https://www.ritchieng.com/the-incredible-pytorch/
https://github.com/ritchieng/the-incredible-pytorch
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