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🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
A list of totally open alternatives to ChatGPT
Making large AI models cheaper, faster and more accessible
Functional local implementations of main model parallelism approaches
A collaboration friendly studio for NeRFs
A curated list of awesome neural radiance fields papers
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Spark RAPIDS plugin - accelerate Apache Spark with GPUs
Distributed Asynchronous Hyperparameter Optimization in Python
This is the pytorch implementation of some representative action recognition approaches including I3D, S3D, TSN and TAM.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Meshed-Memory Transformer for Image Captioning. CVPR 2020
List of resources useful for learning Python 🐍
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Tool for shell commands execution, visualization and alerting. Configured with a simple YAML file.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
OpenZeppelin Contracts is a library for secure smart contract development.
An Open Source Machine Learning Framework for Everyone
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …