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Top 23 Python Memory Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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rpmalloc
Public domain cross platform lock free thread caching 16-byte aligned memory allocator implemented in C
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memorizing-transformers-pytorch
Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch
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recurrent-memory-transformer-pytorch
Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch
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gpt-voice-conversation-chatbot
Allows you to have an engaging and safely emotive spoken / CLI conversation with the AI ChatGPT / GPT-4 while giving you the option to let it remember things discussed.
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M.I.L.E.S
M.I.L.E.S, a GPT-4-Turbo voice assistant, self-adapts its prompts and AI model, can play any Spotify song, adjusts system and Spotify volume, performs calculations, browses the web and internet, searches global weather, delivers date and time, autonomously chooses and retains long-term memories. Available for macOS and Windows.
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PyMemoryEditor
:floppy_disk: Multi-platform library developed with ctypes for reading, writing and searching process memory, in a simple and friendly way with Python 3. The package supports Windows and Linux (32-bit and 64-bit).
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I collected a list of profilers (also memory profilers, also specifically for Python) here: https://github.com/albertz/wiki/blob/master/profiling.md
Currently I actually need a Python memory profiler, because I want to figure out whether there is some memory leak in my application (PyTorch based training script), and where exactly (in this case, it's not a problem of GPU memory, but CPU memory).
I tried Scalene (https://github.com/plasma-umass/scalene), which seems to be powerful, but somehow the output it gives me is not useful at all? It doesn't really give me a flamegraph, or a list of the top lines with memory allocations, but instead it gives me a listing of all source code lines, and prints some (very sparse) information on each line. So I need to search through that listing now by hand to find the spots? Maybe I just don't know how to use it properly.
I tried Memray, but first ran into an issue (https://github.com/bloomberg/memray/issues/212), but after using some workaround, it worked now. I get a flamegraph out, but it doesn't really seem accurate? After a while, there don't seem to be any new memory allocations at all anymore, and I don't quite trust that this is correct.
There is also Austin (https://github.com/P403n1x87/austin), which I also wanted to try (have not yet).
Somehow this experience so far was very disappointing.
(Side node, I debugged some very strange memory allocation behavior of Python before, where all local variables were kept around after an exception, even though I made sure there is no reference anymore to the exception object, to the traceback, etc, and I even called frame.clear() for all frames to really clear it. It turns out, frame.f_locals will create another copy of all the local variables, and the exception object and all the locals in the other frame still stay alive until you access frame.f_locals again. At that point, it will sync the f_locals again with the real (fast) locals, and then it can finally free everything. It was quite annoying to find the source of this problem and to find workarounds for it. https://github.com/python/cpython/issues/113939)
Project mention: What is the appropriate uncompressed kernel ELF to use with dwarf2json? [ 5.19.0-42-generic #43~22.04.1-Ubuntu ], in order to create generate a custom symbols table to conduct linux memory forensics on Ubuntu 22.04? | /r/computerforensics | 2023-05-28I need this to create generate a custom symbols table (using dwarf2json), in order to run a memory dump acquired by Ubuntu 22.04, as Ubuntu 22.04 kernel does not work anymore with volatility 2 (Issue here: volatilityfoundation/volatility#828)
In term of automatically saving everything, There is heyday.xyz, polished but quite expensive. Or https://github.com/karlicoss/promnesia, a more experimental take.
Project mention: Why is it using that much ram? Is that a trojan? Is that a feature of the linux-tkg kernel? (nothing else is running in the background) | /r/linuxmasterrace | 2023-07-01I use a script I call memtop10.sh that uses a combination of ps and ps_mem.py which you can find here: https://github.com/pixelb/ps_mem/blob/master/ps_mem.py
Project mention: HMT: Hierarchical Memory Transformer for Long Context Language Processing | news.ycombinator.com | 2024-05-17Code: https://github.com/OswaldHe/HMT-pytorch
This looks really interesting. I've the paper to my reading list and look forward to playing with the code. I'm curious to see what kinds of improvements we can get by agumenting Transformers and other generative language/sequence models with this and other mechanisms implementing hierarchical memory.[a]
We sure live in interesting times!
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[a] In the past, I experimented a little with transformers that had access to external memory using https://github.com/lucidrains/memorizing-transformers-pytorc... and also using routed queries with https://github.com/glassroom/heinsen_routing . Both approaches seemed to work, but I never attempted to build any kind of hierarchy with those approaches.
Working on Honcho[0] a platform for personalizing LLM based applications to individual end users.
It was inspired when working on a tutoring service and realizing that the key problem of AI tutors was that they didn't know the student well enough. As we started tackling the problem other builders around us mentioned similar concerns. It's been pretty hard to explain the value to those not experiencing the same problems, but it's slowly catching on.
[0] https://github.com/plastic-labs/honcho
Project mention: Show HN: I made M.I.L.E.S, the worlds best voice assistant | news.ycombinator.com | 2024-01-06
Project mention: Library for Memory Scanning for Python 3 (with a GUI application) | /r/Python | 2023-11-29The code is on my GitHub->JeanExtreme002/PyMemoryEditor. I would also appreciate if you left a ⭐️ on the repository page if you like the project and want to see more updates!
Python Memory related posts
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Memary is a cutting-edge long-term memory system based on a knowledge graph
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Memray – A Memory Profiler for Python
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Open source alternative to ChatGPT and ChatPDF-like AI tools
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Why is it using that much ram? Is that a trojan? Is that a feature of the linux-tkg kernel? (nothing else is running in the background)
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Where is my RAM going?
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What is the appropriate uncompressed kernel ELF to use with dwarf2json? [ 5.19.0-42-generic #43~22.04.1-Ubuntu ], in order to create generate a custom symbols table to conduct linux memory forensics on Ubuntu 22.04?
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Microservice memory profiling
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A note from our sponsor - SaaSHub
www.saashub.com | 19 May 2024
Index
What are some of the best open-source Memory projects in Python? This list will help you:
Project | Stars | |
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1 | memray | 12,628 |
2 | psutil | 9,968 |
3 | volatility | 6,951 |
4 | volatility3 | 2,245 |
5 | rpmalloc | 2,035 |
6 | promnesia | 1,697 |
7 | ps_mem | 1,507 |
8 | pointers.py | 907 |
9 | memorizing-transformers-pytorch | 614 |
10 | MalConfScan | 469 |
11 | recurrent-memory-transformer-pytorch | 382 |
12 | gpt-voice-conversation-chatbot | 290 |
13 | theine | 284 |
14 | block-recurrent-transformer-pytorch | 205 |
15 | Proxmox-load-balancer | 161 |
16 | memprof | 128 |
17 | checkmate | 125 |
18 | honcho | 102 |
19 | M.I.L.E.S | 89 |
20 | HTM-pytorch | 71 |
21 | PyMemoryEditor | 52 |
22 | cacheme | 41 |
23 | pyheap | 32 |
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