Stars
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
It's a presentation framework based on the power of CSS3 transforms and transitions in modern browsers and inspired by the idea behind prezi.com.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
A library for efficient similarity search and clustering of dense vectors.
Google Research
Extremely fast Query Engine for DataFrames, written in Rust
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Moved to https://github.com/nodejs/node
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
An open source code editor for the web, written in JavaScript, HTML and CSS.
A curated list of awesome awesomeness
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Visualizer for neural network, deep learning and machine learning models
Backstage is an open framework for building developer portals
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
⚡ A Fast, Extensible Progress Bar for Python and CLI
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
The most advanced responsive front-end framework in the world. Quickly create prototypes and production code for sites that work on any kind of device.
A playbook for systematically maximizing the performance of deep learning models.
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,…
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.