⚡️ EMO-Disentanger
🖥 Github: https://github.com/yuer867/emo-disentanger
📕 Paper: https://arxiv.org/abs/2407.20955v1
🚀 Dataset: https://paperswithcode.com/dataset/emopia
@Machine_learn
🚀 Dataset: https://paperswithcode.com/dataset/emopia
@Machine_learn
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How to Think Like a Computer Scientist: Interactive Edition
https://runestone.academy/ns/books/published/thinkcspy/index.html
@Machine_learn
https://runestone.academy/ns/books/published/thinkcspy/index.html
@Machine_learn
No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation
🖥 Github: https://github.com/themody/no-learning-rates-needed-introducing-salsa-stable-armijo-line-search-adaptation
📕 Paper: https://arxiv.org/abs/2407.20650v1
🚀 Dataset: https://paperswithcode.com/dataset/cifar-10
✅ @Machine_learn
🖥 Github: https://github.com/themody/no-learning-rates-needed-introducing-salsa-stable-armijo-line-search-adaptation
📕 Paper: https://arxiv.org/abs/2407.20650v1
🚀 Dataset: https://paperswithcode.com/dataset/cifar-10
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https://research.google/blog/scaling-hierarchical-agglomerative-clustering-to-trillion-edge-graphs/
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Pixart-Sigma, the first high-quality, transformer-based image generation training framework!
🖥 Github: https://github.com/PixArt-alpha/PixArt-sigma
🔥Demo: https://huggingface.co/spaces/PixArt-alpha/PixArt-Sigma
✅ @Machine_learn
🔥Demo: https://huggingface.co/spaces/PixArt-alpha/PixArt-Sigma
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GitHub
GitHub - PixArt-alpha/PixArt-sigma: PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation - PixArt-alpha/PixArt-sigma
Recall-Oriented-CL-Framework
🖥 Github: https://github.com/bigdata-inha/recall-oriented-cl-framework
📕 Paper: https://arxiv.org/pdf/2403.03082v1.pdf
🔥Dataset: https://paperswithcode.com/dataset/cifar-10
✨ Tasks: https://paperswithcode.com/task/continual-learning
✅ @Machine_learn
🔥Dataset: https://paperswithcode.com/dataset/cifar-10
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GitHub
GitHub - bigdata-inha/recall-oriented-cl-framework
Contribute to bigdata-inha/recall-oriented-cl-framework development by creating an account on GitHub.
با عرض سلام دو پکیچ یادگیری ماشین و یادگیری عمیق را برای دوستانی که می خواهند تا فرداشب با تخفیف ۵۰٪ مجدد قرار دادیم این تخفیف اخرین سری از تخفیف های این دو پکیچ می باشد
1: introduction to machine learning
2: Regression (linear and non-linear)
3: Tensorflow introduction
4: Tensorflow computaion graph
5: Tensorflow optimizer and loss function
6: Tensorflow linear and non linear regression
7: logistic regression
8: Tensorflow regression
___________
9: introduction to traditional machine learning
*10: knn and desicion tree
*11: desicion tree and Naive bayes
*12: desicion tree, knn, Naive bayes implementation
*13: k-means
*14: Guassion Mixture Model(GMM)
*15: implementation K-means and GMM
_
16: introduction to Artificial Neural Network
17: Multi-level Neural Network
18: Introduction to Convolution Neural Network
19: Tensorflow Multi-level Neural Network
20:Tensorflow CNN
21:CNN image clasaification
22: Cnn text clasaification
23: Recurrent Neural Network(RNN)
جهت تهیه می تونین به ایدی بنده مراجعه کنین
@Raminmousa
1: introduction to machine learning
2: Regression (linear and non-linear)
3: Tensorflow introduction
4: Tensorflow computaion graph
5: Tensorflow optimizer and loss function
6: Tensorflow linear and non linear regression
7: logistic regression
8: Tensorflow regression
___________
9: introduction to traditional machine learning
*10: knn and desicion tree
*11: desicion tree and Naive bayes
*12: desicion tree, knn, Naive bayes implementation
*13: k-means
*14: Guassion Mixture Model(GMM)
*15: implementation K-means and GMM
_
16: introduction to Artificial Neural Network
17: Multi-level Neural Network
18: Introduction to Convolution Neural Network
19: Tensorflow Multi-level Neural Network
20:Tensorflow CNN
21:CNN image clasaification
22: Cnn text clasaification
23: Recurrent Neural Network(RNN)
جهت تهیه می تونین به ایدی بنده مراجعه کنین
@Raminmousa
Graph Diffusion Policy Optimization
🖥 Github: https://github.com/sail-sg/gdpo
📕 Paper: https://arxiv.org/pdf/2402.16302v1.pdf
🔥Dataset: https://paperswithcode.com/dataset/zinc
✨ Tasks: https://paperswithcode.com/task/graph-generation
✅ @Machine_learn
🔥Dataset: https://paperswithcode.com/dataset/zinc
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Very cool cookbook here
PDF extractor, calendar agent, data analyst, financial agent & more
docs: https://docs.cohere.com/docs/multi-step-tool-use
cookbook: https://github.com/cohere-ai/notebooks/tree/main?tab=readme-ov-file#agents
✅ @Machine_learn
PDF extractor, calendar agent, data analyst, financial agent & more
docs: https://docs.cohere.com/docs/multi-step-tool-use
cookbook: https://github.com/cohere-ai/notebooks/tree/main?tab=readme-ov-file#agents
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Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
🖥 Github: https://github.com/wangkai930418/DPL
📕 Paper: https://arxiv.org/abs/2405.01496v1
🔥Dataset: https://neurips.cc/virtual/2023/poster/72801
@Machine_learn
🔥Dataset: https://neurips.cc/virtual/2023/poster/72801
@Machine_learn
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Recurrent Neural Networks Learn to Store and Generate Sequences
using Non-Linear Representations
#RNN
https://arxiv.org/pdf/2408.10920
@Machine_learn
using Non-Linear Representations
#RNN
https://arxiv.org/pdf/2408.10920
@Machine_learn
MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition
🖥 Github: https://github.com/zeroqiaoba/mertools
📕 Paper: https://arxiv.org/abs/2404.17113v1
🔥Dataset: https://paperswithcode.com/dataset/voxceleb2
@Machine_learn
🔥Dataset: https://paperswithcode.com/dataset/voxceleb2
@Machine_learn
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GitHub
GitHub - zeroQiaoba/MERTools: Toolkits for Multimodal Emotion Recognition
Toolkits for Multimodal Emotion Recognition. Contribute to zeroQiaoba/MERTools development by creating an account on GitHub.
📃A key review on graph data science: The power of graphs in scientific studies
📎 Study paper
@Machine_learn
📎 Study paper
@Machine_learn
Paper: Scalable Autoregressive Image Generation with Mamba
Paper: https://arxiv.org/pdf/2408.12245v1.pdf
Code: https://github.com/hp-l33/aim
Dataset: ImageNet
@Machine_learn
Paper: https://arxiv.org/pdf/2408.12245v1.pdf
Code: https://github.com/hp-l33/aim
Dataset: ImageNet
@Machine_learn
🎓 Graph Neural Networks in Intrusion Detection
📘A thesis submitted in fulfilment of the requirements for the degree of MSc. Computer Science
🗓Publish year: 2024
📎Study Thesis
@Machine_learn
📘A thesis submitted in fulfilment of the requirements for the degree of MSc. Computer Science
🗓Publish year: 2024
📎Study Thesis
@Machine_learn
DocsGPT
DocsGPT is a cutting-edge open-source solution that streamlines the process of finding information in project documentation. With its integration of the powerful GPT models, developers can easily ask questions about a project and receive accurate answers.
Say goodbye to time-consuming manual searches, and let DocsGPT help you quickly find the information you need. Try it out and see how it revolutionizes your project documentation experience. Contribute to its development and be a part of the future of AI-powered assistance.
Creator: Arc53
Stars ⭐️: 7.4k
Forked By: 769
https://github.com/arc53/DocsGPT
#DocsGPT #GPT
@Machine_learn
DocsGPT is a cutting-edge open-source solution that streamlines the process of finding information in project documentation. With its integration of the powerful GPT models, developers can easily ask questions about a project and receive accurate answers.
Say goodbye to time-consuming manual searches, and let DocsGPT help you quickly find the information you need. Try it out and see how it revolutionizes your project documentation experience. Contribute to its development and be a part of the future of AI-powered assistance.
Creator: Arc53
Stars ⭐️: 7.4k
Forked By: 769
https://github.com/arc53/DocsGPT
#DocsGPT #GPT
@Machine_learn
GitHub
GitHub - arc53/DocsGPT: Chatbot for documentation, that allows you to chat with your data. Privately deployable, provides AI knowledge…
Chatbot for documentation, that allows you to chat with your data. Privately deployable, provides AI knowledge sharing and integrates knowledge into your AI workflow - arc53/DocsGPT