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The AKC is the recognized and trusted expert in breed, health and training information for dogs.
github.com/stormy-ua/dog-breeds-classification
Set of scripts and data for reproducing dog breed classification model training, analysis, and inference. (⭐ 120)
arxiv.org/abs/2512.06261v1
Generating safe, kinodynamically feasible, and optimal trajectories for complex robotic systems is a central challenge in robotics. This paper presents Safe Model Predictive Diffusion (Safe MPD), a training-free diffusion planner that unifies a model...
arxiv.org/abs/2407.09121v2
This study addresses a critical gap in safety tuning practices for Large Language Models (LLMs) by identifying and tackling a refusal position bias within safety tuning data, which compromises the models' ability to appropriately refuse generating un...
arxiv.org/abs/2507.23115v1
Previous work on data privacy in federated learning systems focuses on privacy-preserving operations for data from users who have agreed to share their data for training. However, modern data privacy agreements also empower users to use the system wh...
github.com/MarkFzp/act-plus-plus
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN (⭐ 3573)
arxiv.org/abs/2110.06978v2
In federated learning, model personalization can be a very effective strategy to deal with heterogeneous training data across clients. We introduce WAFFLE (Weighted Averaging For Federated LEarning), a personalized collaborative machine learning algo...
en.wikipedia.org/wiki/TRX_System
The TRX System, also known as Total Resistance Exercises, refers to a specialized form of suspension training that utilizes equipment developed by former
arxiv.org/abs/2509.15589v2
Hands-on training sessions become a standard way to develop and increase knowledge in cybersecurity. As practical cybersecurity exercises are strongly process-oriented with knowledge-intensive processes, process mining techniques and models can help...
github.com/chenghuige/wenzheng
ai challenger 2018细粒度情感分类第一名解决方案, A training framework itegrating tensorflow and pytorch (⭐ 576)
github.com/OpenPipe/ART
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more! (⭐ 8740)
github.com/GoesToEleven/GolangTraining
Training for Golang (go language) (⭐ 10426)
github.com/McGill-NLP/medal
Large medical text dataset curated for abbreviation disambiguation, designed for natural language understanding pre-training in the medical domain (⭐ 284)
arxiv.org/abs/1908.10508v2
Active Learning methods create an optimized labeled training set from unlabeled data. We introduce a novel Online Active Deep Learning method for Medical Image Analysis. We extend our MedAL active learning framework to present new results in this pap...
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Feb 18, 2026 · Employee safety is a top priority at Newell Brands. Over the past year, we maintained the programs that have allowed us to achieve a world-class safety record while deepening our training …
github.com/longzw1997/Open-GroundingDino
This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection. (⭐ 796)
github.com/IDEA-Research/GroundingDINO
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection" (⭐ 9793)
github.com/kpkt/kpkt.github.io
Training GitHub (⭐ 0)
arxiv.org/abs/2504.08198v1
Federated Learning (FL) has been introduced as a way to keep data local to clients while training a shared machine learning model, as clients train on their local data and send trained models to a central aggregator. It is expected that FL will have...
