Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
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Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
- bayesian-inference
- deep-learning
Model extraction attacks on Machine-Learning-as-a-Service platforms.
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
- deep-learning
- agriculture
- pytorch
- dataset
NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
- machine-learning
- dialogue-systems
- dialogue-generation
- dialogues
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
- python
- sklearn
- data-science
- framework
PyC (Pytorch Concepts) is a PyTorch-based library for designing concept-based interpretable deep learning models.
- ai
- concepts
- explainable-ai
- interventions
Genetic feature selection module for scikit-learn
Official repository for the paper “RSIPO: Recursive Self-Improving Policy Optimization for Agentic Reinforcement Learning via Skill-Policy Co-Evolution”
Open-source embodied agent framework: execution, feedback, and continual improvement
- agent-harness
- ai-agents
- continual-learning
- embodied-ai
Maze Applied Reinforcement Learning Framework
Neuro-symbolic agents with verified memory. MCP math tools, an algebra repair Skill, and an open challenge. Verify solutions, learn checked rules, and reuse.
- ai-agents
- mathematics
- neuro-symbolic
- reasoning
TranslatedCNN | Keras/PyTorch | CAPTCHA recognition
- captcha
- cnn-keras
- machine-learning
- pytorch-cnn
Translated12306 captcha recognition based on deep learning
- 12306
- captcha
- recognizer
- deep-learning
SteerAct: Unlocking Action Models through Few-Shot Temporal Steering
Descriptor computation(chemistry) and (optional) storage for machine learning
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
- imaging
- ai
- cloud-computing
- medical-imaging
Bayesian Optimization using GPflow
- gpflow
- bayesian-optimization
- machine-learning
- hyperparameter-optimization
The PASS dataset: pretrained models and how to get the data
- computer-vision
- self-supervised-learning
- representation-learning
Embodied In-Context Learning for GPT-6 Astra
The first exam for code agents in the physical world: frozen robot tasks from many benchmark suites, each answered with a program and verified in a separate sandbox. Runs on Harbor.
- ai-agents
- benchmark
- coding-agents
- embodied-ai
Pytorch framework for doing deep learning on point clouds.
Things we learned from Capture The Flag hacking competitions we participated in.
- hacking-competitions
- ctf-writeups
- ctf
- challenges
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
- machine-learning
- python
- evolutionary-algorithms
- genetic-algorithm