🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
-
Updated
Jun 2, 2024 - Python
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Machine Learning Study in 2024
🤖 Collect practical AI repos, tools, websites, papers and tutorials on AI. 实用的AI百宝箱 💎
Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
this is a repository to design a deep learning model to detect leishmaniasis in microscopic images
optimizer & lr scheduler & loss function collections in PyTorch
Just recording papers I read everyday 📚
PyTorch入门教程,在线阅读地址:https://datawhalechina.github.io/thorough-pytorch/
WebApps in pure Python. No JavaScript, HTML and CSS needed
A curated list of awesome Deep Learning tutorials, projects and communities. With repository stars⭐ and forks🍴
An Open Source Machine Learning Framework for Everyone
Machine learning and deep learning tutorials, articles and other resources. With repository stars⭐ and forks🍴
Awesome Time-Series Imputation Papers, including a must-read paper list about using deep learning neural networks to impute incomplete time series containing NaN missing values/data
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Data Science | AI | ML | NLP | OpenCV | Python | Statistics | SQL
Explicitly Parameterized Neural Networks in Julia
neural trajectory modelling
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Blog Website
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite