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Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…
A heuristic algorithm for solving the generalized stable-roommate problem.
A curated list of awesome datasets for SLAM
Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.
A small collection of tools to manage deep learning with multiple sources of loss
Development and optimization of AutoGPT using the Agent Protocal.
AI/ML-assisted Track Reconstruction in the STT of the PANDA Experiment at FAIR.
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
A playbook for systematically maximizing the performance of deep learning models.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Library for running arbitrary stages of training and inference in an ML pipeline
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
PyTorch implementations of Generative Adversarial Networks.
Deep Reinforcement Learning for Robotic Grasping from Octrees
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
python toolbox for calculations related to quantum entanglement (including squashed entanglement) "Speak Quantum Friend and Enter"
Graph Neural Network Library for PyTorch