Awesome Blogs
Section: Awesome AutoDL Libraies
StaleScore 52
Entry
TPOT
Appears in 6 awesome lists
Tool that automatically creates and optimizes machine learning pipelines using genetic programming. Consider it your personal data science assistant, automating a tedious part of machine learning.
Open github.comepistasislab/tpot
Found in these lists
Awesome Machine Learning
Section: Python · Tool that automatically creates and optimizes machine learning pipelines using genetic programming. Consider it your personal data science assistant, automating a tedious part of machine learning.
FreshScore 93
Awesome MLOps
Section: Optimization Tools · Automated ML tool that optimizes machine learning pipelines using genetic programming.
FreshScore 80
Awesome Production Machine Learning
Section: AutoML · Automation of sklearn pipeline creation (including feature selection, pre-processor, etc.).
FreshScore 92
awesome-python
Section: Machine Learning Frameworks · A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
FreshScore 81
Awesome Robotic Tooling
Section: Machine Learning · A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
StaleScore 54
Often listed next to it
TensorFlow
How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.
In 23 listsDetails
PyTorch
(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
In 16 listsDetails
Opik
Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…
In 16 listsDetails
transformers
(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…
In 14 listsDetails
Colossal-AI
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
In 14 listsDetails
Ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io
In 13 listsDetails
Haystack
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…
In 13 listsDetails