Learning to Recover from LLM Agent Failures at Test Time
Repository Index
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[ICRA] Crowd-aware Robot Navigation
- reinforcement-learning
- crowd-navigation
- collision-avoidance
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
- tensorflow
- ros
- deep-reinforcement-learning
- collision-avoidance
A curated list of Monte Carlo tree search papers with implementations.
- tree-search
- learning
- machine-learning
- deep-learning
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
- graph
- graph-sampling
- network-sampling
- random-walk
Sequence learning toolkit for Python
Python package for stacking (machine learning technique)
- stacking
- stacked-generalization
- explain-stacking
- stacking-tutorial
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
- python
- machine-learning
- random-forest
- tensorflow
A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.
Simple structured learning framework for python
Remory: Learning Residual Memory for Context Compaction
- context-compaction
- inference
- llm-agents
- residual-memory
Build fully-functioning computer vision models with PyTorch
An OpenAI gym wrapper for CARLA simulator
- carla-simulator
- autonomous-driving
- deep-reinforcement-learning
- imitation-learning
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
- pipeline
- pipeline-framework
- machine-learning
- deep-learning
Module for statistical learning, with a particular emphasis on time-dependent modelling
- machine-learning
- python
- point-process
- optimization
Sharing Updatable Models (SUM) on Blockchain
- blockchain
- ml
- ai
- economics
Classify music genre from a 10 second sound stream using a Neural Network.
- deep-learning
- music-genre-classification
- paper
- tensorflow
Claudemy: an open-source alternative to Udemy and Coursera. Give Claude a topic, it researches the web and builds a course of 2-minute audio lessons with cited sources. A free Claude Code skill.
- ai-course-generator
- ai-education
- anthropic
- audio-lessons
QKeras: a quantization deep learning library for Tensorflow Keras
- deep-learning
- quantization
- quantized-neural-networks
- hardware-acceleration
🎯 A comprehensive gradient-free optimization framework written in Python
- metaheuristics
- optimization
- optimization-algorithms
- python
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
- tabular-data
- gans
- train-dataframe
- adversarial-filtering
Vision-Language Pathology Foundation Model - Nature Medicine
- bioimage-analysis
- bioimage-informatics
- conch
- foundation-model
OmniEdu: Open Foundation Models for Learning and Teaching