Misha Brukman's Projects
Automatic Dependency Management Tools for JVM Languages
Tools of The Trade, from Hacker News.
A list of popular github projects related to deep learning
TopicDB is a topic maps-based semantic graph library (using PostgreSQL for persistence)
Making neural networks more interpretable, for research and art :mag_right: :computer: :brain: :art:
Torch interface to HDF5 library
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
A Python-level JIT compiler designed to make unmodified PyTorch programs faster.
Research Framework for easy and efficient training of GANs based on Pytorch
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Shape inference for PyTorch (like in Keras) + new SoTA layers!
Transformers at any scale
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
🌪️ TornadoVM: A practical and efficient heterogeneous programming framework for managed languages
MIT Licensed Open Source version of Torque 2D from GarageGames
MIT Licensed Open Source version of Torque 3D from GarageGames
Torus is an event-driven model-view UI framework for the web, focused on being tiny, efficient, and free of dependencies.
Toy path tracer for my own learning purposes (CPU/GPU, C++/C#, Win/Mac/Wasm, DX11/Metal, also Unity)
Godot Third Person Shooter with high quality assets and lighting
Golang errors with stack trace and source fragments.
JavaScript Browser Error Monitoring Agent from TrackJS
Tracktion Engine module
Mirror of Apache Trafodion (Incubating)
Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
A paper list of some recent Transformer-based CV works.
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
🧠 A study guide to learn about Transformers