13,186 skills found · Page 4 of 440
microsoft / Table TransformerTable Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.
jonyzhang2023 / Awesome Embodied Vla Va VlnA curated list of state-of-the-art research in embodied AI, focusing on vision-language-action (VLA) models, vision-language navigation (VLN), and related multimodal learning approaches.
whylabs / WhylogsAn open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
Trusted-AI / AIF360A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
kzl / Decision TransformerOfficial codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
OpenBMB / BMToolsTool Learning for Big Models, Open-Source Solutions of ChatGPT-Plugins
cbfinn / MamlCode for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
NVIDIA / PhysicsnemoOpen-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
SeldonIO / AlibiAlgorithms for explaining machine learning models
coqui-ai / STT🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
plexe-ai / Plexe✨ Build a machine learning model from a prompt
oegedijk / ExplainerdashboardQuickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
dragen1860 / MAML PytorchElegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
huggingface / Evaluate🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
microsoft / GraphormerGraphormer is a general-purpose deep learning backbone for molecular modeling.
TsinghuaC3I / Awesome RL For LRMsA Survey of Reinforcement Learning for Large Reasoning Models
learning-at-home / HivemindDecentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
NVIDIA / Model OptimizerA unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
labmlai / Labml🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
hzwer / ICCV2019 LearningToPaintICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning
