Physicsnemo
NVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Ml AutomationReview before use
3KGitHub
OPENAGENTSKILL / DIRECTORY
AI Agent Skills
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
Results · “league-training”
17–31 / 31
More filters · 1
Results: 31
Sagemaker Python Sdk
aws
A library for training and deploying machine learning models on Amazon SageMaker
Ml AutomationReview before use
2.2KGitHub
GeneticAlgorithmPython
ahmedfgad
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Ml AutomationReview before use
2.2KGitHub
Tensorpack
tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Ml AutomationReview before use
6.3KGitHub
OpenMLDB
4paradigm
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
Ml AutomationReview before use
1.7KGitHub
1.9KGitHub
Tnt
meta-pytorch
A lightweight library for PyTorch training tools and utilities
Ml AutomationReview before use
1.7KGitHub
Curator
bespokelabsai
Synthetic data curation for post-training and structured data extraction
Ml AutomationReview before use
1.7KGitHub
Trlx
CarperAI
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
Ml AutomationReview before use
4.7KGitHub
Higgsfield
higgsfield-ai
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Ml AutomationReview before use
3.8KGitHub
TensorFlow.NET
SciSharp
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
Ml AutomationReview before use
3.4KGitHub
3KGitHub
Petastorm
uber
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks…
Ml AutomationReview before use
1.9KGitHub
Machine Learning Experiments
trekhleb
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
Ml AutomationReview before use
1.8KGitHub
Labml
labmlai
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
Ml AutomationReview before use
2.3KGitHub
External platform skills
Browse external directory →Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
No external entries match this query.