Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
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Learn a codebase by re-deriving its design decisions yourself. A Claude Code skill.
🎆 A visualization of the CapsNet layers to better understand how it works
- capsule-network
- tensorflow
- python
- hinton
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
Reproduction of SuperMimic (arXiv:2610.28480): learned differentiable world model + BPTT policy for G1 humanoid motion tracking, on mjlab/MuJoCo Warp
Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
- bayesian-inference
- deep-learning
An open-source solution for a SMS API Server hosted locally
- android-application
- open-source
- python
- sms-api
Model extraction attacks on Machine-Learning-as-a-Service platforms.
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
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
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
- python
- sklearn
- data-science
- framework
OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
- deep-learning
- llm-agents
- optimizer
- pytorch
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”
A 4B grounding foundation model for physical intelligence. Unifies detection, referring, pointing, OCR, GUI, and layout grounding, achieving SOTA overall across 34 benchmarks and improving robot generalization and data efficiency in controlled evaluations.
- embodied-ai
- gui-grounding
- object-detection
- ocr
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
Descriptor computation(chemistry) and (optional) storage for machine learning
Bayesian Optimization using GPflow
- gpflow
- bayesian-optimization
- machine-learning
- hyperparameter-optimization
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