Lit
PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Ml AutomationSkill source unconfirmed
3.7KGitHub
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Results: 32
Probability
tensorflow
Probabilistic reasoning and statistical analysis in TensorFlow
Ml AutomationSkill source unconfirmed
4.4KGitHub
Book5 Essentials Of Probability And Statistics
Visualize-ML
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
Ml AutomationSkill source unconfirmed
3.7KGitHub
Techniques
satellite-image-deep-learning
Techniques for deep learning with satellite & aerial imagery
Ml AutomationSkill source unconfirmed
10.2KGitHub
Shapash
MAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Ml AutomationSkill source unconfirmed
3.2KGitHub
Robosat
mapbox
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Ml AutomationSkill source unconfirmed
2.1KGitHub
Yolov5
ultralytics
Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
Ml AutomationSkill source unconfirmed
57.5KGitHub
21KGitHub
Burn
tracel-ai
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Ml AutomationSkill source unconfirmed
15.4KGitHub
Pytorch Grad Cam
jacobgil
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Ml AutomationSkill source unconfirmed
12.9KGitHub
Yolov3
ultralytics
Ultralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Ml AutomationSkill source unconfirmed
10.6KGitHub
ML From Scratch
eriklindernoren
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from li…
Ml AutomationSkill source unconfirmed
31.9KGitHub
Cleanrl
vwxyzjn
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Ml AutomationSkill source unconfirmed
10.1KGitHub
Cleanlab
cleanlab
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Ml AutomationSkill source unconfirmed
11.5KGitHub
Argilla
argilla-io
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
5.1KGitHub
Pixie
pixie-io
Instant Kubernetes-Native Application Observability
Ml AutomationSkill source unconfirmed
6.5KGitHub