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Top 23 Python Machinelearning Projects
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Project mention: Show HN: Toolkit for LLM Fine-Tuning, Ablating and Testing | news.ycombinator.com | 2024-04-07
This is a great project, little bit similar to https://github.com/ludwig-ai/ludwig, but it includes testing capabilities and ablation.
questions regarding the LLM testing aspect: How extensive is the test coverage for LLM use cases, and what is the current state of this project area? Do you offer any guarantees, or is it considered an open-ended problem?
Would love to see more progress toward this area!
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vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
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clearml
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
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Project mention: AI Search That Understands the Way Your Customer's Think | news.ycombinator.com | 2024-05-28
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igel
a delightful machine learning tool that allows you to train, test, and use models without writing code
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InfluxDB
Purpose built for real-time analytics at any scale. InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.
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Project mention: Fast Llama 2 on CPUs with Sparse Fine-Tuning and DeepSparse | news.ycombinator.com | 2023-11-23
Interesting company. Yannic Kilcher interviewed Nir Shavit last year and they went into some depth: https://www.youtube.com/watch?v=0PAiQ1jTN5k DeepSparse is on GitHub: https://github.com/neuralmagic/deepsparse
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NannyML is a Python library specialized in post-deployment monitoring and maintenance of machine learning (ML) models. It enables data scientists to detect and address silent model failure, estimate model performance without immediate ground truth data, and identify data drift that might be responsible for performance degradation.
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retentioneering-tools
Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.
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Project mention: Show HN: Custom Action Recognition with ActionAI | news.ycombinator.com | 2023-09-23
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covalent
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments. (by AgnostiqHQ)
Pretty interesting request, if SSH is not used, i would try using something like dask which uses tcp to connect and execute assuming your workers are in another machine.I also think something like covalent can be used to extend your own custom plugin in their ecosystem to connect how you want. We have a very custom private plugin written on top of covalent's to have a custom protocol to connect our central on-prem GPU machines to our local laptops that is rpc based, mostly for high performance as well as some mandate security from where the GPU machines are. Once done it is pretty much something like
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Project mention: Hallucination Is Inevitable: An Innate Limitation of Large Language Models | news.ycombinator.com | 2024-02-25
Hallucinations are essential for divergent thinking. Not everything is solved following goal driven approaches. Check out DreamGPT: https://github.com/DivergentAI/dreamGPT
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Machine-Learning-Guide
Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
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CodeRL
This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).
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ai-hub-models
The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
Project mention: Qualcomm has open sourced more than 80 AI models | news.ycombinator.com | 2024-02-28Hi HN! I'm a member of the team that worked hard on AI Hub and AI Hub Models for the last few years. Excited to see our work show up here!!
I also encourage you take a look at our GitHub repository: https://github.com/quic/ai-hub-models
If you have questions or feature requests, you can reach out to us on Slack (https://join.slack.com/t/qualcomm-ai-hub/shared_invite/zt-2d...) or file an issue on GitHub / Huggingface. We are pretty responsive!
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python Machinelearning discussion
Python Machinelearning related posts
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AI Search That Understands the Way Your Customer's Think
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Ask HN: Is there any good semantic search GUI for images or documents?
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Fast Llama 2 on CPUs with Sparse Fine-Tuning and DeepSparse
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It was not "Good First Issue"
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Show HN: Marqo – Vectorless Vector Search
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Ask HN: Which Vector Database do you recommend for LLM applications?
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🌸 Anime app: I need your help
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A note from our sponsor - Scout Monitoring
www.scoutapm.com | 11 Sep 2024
Index
What are some of the best open-source Machinelearning projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | horovod | 14,146 |
| 2 | ludwig | 11,078 |
| 3 | vaex | 8,248 |
| 4 | clearml | 5,549 |
| 5 | awesome-open-gpt | 5,475 |
| 6 | marqo | 4,459 |
| 7 | igel | 3,081 |
| 8 | deepsparse | 2,969 |
| 9 | tslearn | 2,879 |
| 10 | nannyml | 1,853 |
| 11 | nsfw_model | 1,726 |
| 12 | pytorch2keras | 857 |
| 13 | retentioneering-tools | 793 |
| 14 | ActionAI | 765 |
| 15 | covalent | 748 |
| 16 | LiuAlgoTrader | 735 |
| 17 | MetaSpore | 639 |
| 18 | dreamGPT | 550 |
| 19 | Machine-Learning-Guide | 516 |
| 20 | CodeRL | 491 |
| 21 | ai-hub-models | 405 |
| 22 | deep-significance | 323 |
| 23 | hydra-zen | 313 |
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