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Mouse Jiggler is a very simple piece of software whose sole function is to "fake" mouse input to Windows, and jiggle the mouse pointer back and forth.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
🌄 The Cloud Native Interactive Landscape filters and sorts hundreds of projects and products, and shows details including GitHub stars, funding, first and last commits, contributor counts and headq…
Open and extensible continuous delivery solution for Kubernetes. Powered by GitOps Toolkit.
Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
links to conference publications in graph-based deep learning
专为程序员编写的英语学习指南 v1.2。在线版本请点 ->
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Translation of VIP cheatsheets for Machine Learning Deep Learning, and Artificial Intelligence
VIP cheatsheets for Stanford's CS 230 Deep Learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
A collection of pre-trained, state-of-the-art models in the ONNX format
Model analysis tools for TensorFlow
Minimal and clean examples of machine learning algorithms implementations
TensorFlow tutorials and best practices.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
A project template to simplify building and training deep learning models using Keras.
A best practice for tensorflow project template architecture.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…