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TensorIR: An Abstraction for Automatic Tensorized Program Optimization
Paper: https://arxiv.org/pdf/2207.04296v2.pdf
Codes: https://github.com/mlc-ai/web-llm - https://github.com/apache/tvm
✅ @Machine_learn
Paper: https://arxiv.org/pdf/2207.04296v2.pdf
Codes: https://github.com/mlc-ai/web-llm - https://github.com/apache/tvm
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# setting up a venv:
conda create -n depth-pro -y python=3.9
conda activate depth-pro
pip install -e .
# Download pretrained checkpoints:
source get_pretrained_models.sh
# Run the inference from CLI on a single image:
depth-pro-run -i ./data/example.jpg
# Running from python
from PIL import Image
import depth_pro
model, transform = depth_pro.create_model_and_transforms()
model.eval()
image, _, f_px = depth_pro.load_rgb(image_path)
image = transform(image)
prediction = model.infer(image, f_px=f_px)
depth = prediction["depth"] # Depth in [m].
focallength_px = prediction["focallength_px"] # Focal length in pixels.@Machine_learn
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Deep Learning and Computational Physics - Lecture Notes, University of South California
📓 book
@Machine_learn
📓 book
@Machine_learn
Forwarded from Github LLMs
Crawl 4 AI
Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper
Creator: UncleCode
Stars ⭐️: 8.6k
Forked By: 627
https://github.com/unclecode/crawl4ai
✅ https://www.tg-me.com/deep_learning_proj
Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper
Creator: UncleCode
Stars ⭐️: 8.6k
Forked By: 627
https://github.com/unclecode/crawl4ai
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GitHub
GitHub - unclecode/crawl4ai: 🔥🕷️ Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper
🔥🕷️ Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper - unclecode/crawl4ai
Generalizable and Animatable Gaussian Head Avatar
🖥 Github: https://github.com/xg-chu/gagavatar
📕 Paper: https://arxiv.org/abs/2410.07971v1
@Machine_learn
@Machine_learn
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با عرض سلام خيلي از دوستان در رابطه با طراحي صفر تا صد پروژه هاي ديپ از بنده سوال پرسيدن داخل پك زير ٣٦ پروژه رو با جزئيات شرح دادم:
1-Deep Learning Basic
-01_Introduction
--01_How_TensorFlow_Works
2-Classification apparel
-Classification apparel double capsule
-Classification apparel double cnn
3-ALZHEIMERS USING CNN(ResNet)
4-Fake News (Covid-19 dataset)
-Multi-channel
-3DCNN model
-Base line+ Char CNN
-Fake News Covid CapsuleNet
5-3DCNN Fake News
6-recommender systems
-GRU+LSTM MovieLens
7-Multi-Domain Sentiment Analysis
-Dranziera CapsuleNet
-Dranziera CNN Multi-channel
-Dranziera LSTM
8-Persian Multi-Domain SA
-Bi-GRU Capsule Net
-Multi-CNN
9-Recommendation system
-Factorization Recommender, Ranking Factorization Recommender, Item Similarity Recommender (turicreate)
-SVD, SVD++, NMF, Slope One, k-NN, Centered k-NN, k-NN Baseline, Co-Clustering(surprise)
10-NihX-Ray
-optimized CNN on FullDataset Nih-Xray
-MobileNet
-Transfer learning
-Capsule Network on FullDataset Nih-Xray
دوستاني كه نياز به اين پروژه ها دارن ميتونن با بنده در ارتباط باشن.
@Raminmousa
@Machine_learn
1-Deep Learning Basic
-01_Introduction
--01_How_TensorFlow_Works
2-Classification apparel
-Classification apparel double capsule
-Classification apparel double cnn
3-ALZHEIMERS USING CNN(ResNet)
4-Fake News (Covid-19 dataset)
-Multi-channel
-3DCNN model
-Base line+ Char CNN
-Fake News Covid CapsuleNet
5-3DCNN Fake News
6-recommender systems
-GRU+LSTM MovieLens
7-Multi-Domain Sentiment Analysis
-Dranziera CapsuleNet
-Dranziera CNN Multi-channel
-Dranziera LSTM
8-Persian Multi-Domain SA
-Bi-GRU Capsule Net
-Multi-CNN
9-Recommendation system
-Factorization Recommender, Ranking Factorization Recommender, Item Similarity Recommender (turicreate)
-SVD, SVD++, NMF, Slope One, k-NN, Centered k-NN, k-NN Baseline, Co-Clustering(surprise)
10-NihX-Ray
-optimized CNN on FullDataset Nih-Xray
-MobileNet
-Transfer learning
-Capsule Network on FullDataset Nih-Xray
دوستاني كه نياز به اين پروژه ها دارن ميتونن با بنده در ارتباط باشن.
@Raminmousa
@Machine_learn
Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts
💻 Github: https://github.com/freedomintelligence/apollomoe
🔖 Paper: https://arxiv.org/abs/2410.10626v1
🤗 Dataset: https://paperswithcode.com/dataset/mmlu
✅ @Machine_learn
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Thesis2 2.pdf
5.5 MB
Thesis: Yolo object detection
این پروژه سال ۲۰۲۰ با یکی از دوستان انجام دادیم که هدف تشخیص وزن پل با استفاده از Yolo بود. جزئیات مدل یولو رو داخل این بررسی کردیم . برای دوستانی که می خوان بیشتر این مدل رو بررسی کنن می تونه مفید باشه.
@Machine_learn
این پروژه سال ۲۰۲۰ با یکی از دوستان انجام دادیم که هدف تشخیص وزن پل با استفاده از Yolo بود. جزئیات مدل یولو رو داخل این بررسی کردیم . برای دوستانی که می خوان بیشتر این مدل رو بررسی کنن می تونه مفید باشه.
@Machine_learn
Machine learning books and papers
با عرض سلام خيلي از دوستان در رابطه با طراحي صفر تا صد پروژه هاي ديپ از بنده سوال پرسيدن داخل پك زير ٣٦ پروژه رو با جزئيات شرح دادم: 1-Deep Learning Basic -01_Introduction --01_How_TensorFlow_Works 2-Classification apparel -Classification apparel double…
پروژه های بیشتر شبیه این ریپورت داخل این پک قرار داره. دوستانی که نیاز دارن می تونن به ایدی بنده مراجعه کنن.
@Raminmousa
@Raminmousa
📃Network Modeling and Control of Dynamic Disease Pathways, Review and Perspectives
📎 Study the paper
@Machine_learn
📎 Study the paper
@Machine_learn