Awesome-pytorch-list 翻译工作进行中......
- pytorch
- python
- machine-learning
- deep-learning
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Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
- deep-learning
- machine-learning
- stock-price-prediction
- features-extraction
DL course co-developed by YSDA, HSE and Skoltech
- deep-learning
- course
- course-materials
- theano
A comprehensive guide to understanding and implementing large language models with hands-on examples using LangChain for GenAI applications.
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
Try out deep learning models online on Google Colab
- colab-notebook
- deep-learning
- deep-neural-networks
- cnn
deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link
Vision utilities for web interaction agents 👀
- ocr
- playwright
- selenium
- webscraping
A Modular Framework for 3D Gaussian Splatting and Beyond
- 3d-reconstruction
- 3dgs
- gaussian-splatting
- multi-view-reconstruction
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
- trading-strategies
- backtesting
- stocks
- financial-data-science
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
- descriptors
- image-matching
- image-registration
- keypoints
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Machine Learning in Asset Management (by @firmai)
- machine-learning
- trading-strategies
- assets-management
- algorithmic-trading
Implementing the 4 agentic patterns from scratch
Notebooks for "Python for Signal Processing" book
:robot::zap: 50 scikit-learn tips
The repository host gives no description.
- foundation-model
- gpt
- single-cell
Synthetic data generators for tabular and time-series data
- gan-architectures
- gan
- deep-learning
- synthetic-data
Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.
- business-logic
- code-analysis
- code-understanding
- codebase-analysis
Koç University deep learning framework.
- knet
- deep-learning
- julia
- machine-learning
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
Instructional notebooks on music information retrieval.
- ipython-notebook
- music-information-retrieval
- python
- machine-learning
Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)
- ocr
- text-detection