redis-py
transformers
| redis-py | transformers | |
|---|---|---|
| 19 | 176 | |
| 12,269 | 125,369 | |
| 0.7% | 1.7% | |
| 8.9 | 10.0 | |
| 3 days ago | 1 day ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
redis-py
-
Solving a critical bug in the default Rails caching library
My jaw dropped when I saw the postmortem — it was exactly the same bug concept, just in a different library! A reminder that hard things often transcend particular languages and libraries. And boy, is this a hard bug. It sits at the intersection of caching, shared resource management, and state corruption — infamously tricky problem spaces.
- ChatGPT banned with immediate effect in Italy.
- NGL, they had me in the first half!
- OpenAI CEO 'feels awful' after ChatGPT leaks conversations, payment info
-
OpenAI leaks Credit card info
Oof https://github.com/redis/redis-py/issues/2665 It seems it’s not fully patched.
-
March 20 ChatGPT outage: Here’s what happened
There is a 1 year old open bug which is almost very similar to OpenAI's issue, which was autclosed: https://github.com/redis/redis-py/issues/2028
-
Konohagakure Search
redis
-
How to implement server push in Flask framework?
I used Juggernaut, but it seems to be not working with redis-py in current version, and Juggernaut has been deprecated recently.
- Websockets and streaming data
-
What do you guys think about Zig's approach to async?
https://github.com/andymccurdy/redis-py https://github.com/aio-libs/aioredis
transformers
-
AI enthusiasm #9 - A multilingual chatbot📣🈸
transformers is a package by Hugging Face, that helps you interact with models on HF Hub (GitHub)
-
Maxtext: A simple, performant and scalable Jax LLM
Is t5x an encoder/decoder architecture?
Some more general options.
The Flax ecosystem
https://github.com/google/flax?tab=readme-ov-file
or dm-haiku
https://github.com/google-deepmind/dm-haiku
were some of the best developed communities in the Jax AI field
Perhaps the “trax” repo? https://github.com/google/trax
Some HF examples https://github.com/huggingface/transformers/tree/main/exampl...
Sadly it seems much of the work is proprietary these days, but one example could be Grok-1, if you customize the details. https://github.com/xai-org/grok-1/blob/main/run.py
-
Lossless Acceleration of LLM via Adaptive N-Gram Parallel Decoding
The HuggingFace transformers library already has support for a similar method called prompt lookup decoding that uses the existing context to generate an ngram model: https://github.com/huggingface/transformers/issues/27722
I don't think it would be that hard to switch it out for a pretrained ngram model.
-
AI enthusiasm #6 - Finetune any LLM you want💡
Most of this tutorial is based on Hugging Face course about Transformers and on Niels Rogge's Transformers tutorials: make sure to check their work and give them a star on GitHub, if you please ❤️
-
Schedule-Free Learning – A New Way to Train
* Superconvergence + LR range finder + Fast AI's Ranger21 optimizer was the goto optimizer for CNNs, and worked fabulously well, but on transformers, the learning rate range finder sadi 1e-3 was the best, whilst 1e-5 was better. However, the 1 cycle learning rate stuck. https://github.com/huggingface/transformers/issues/16013
-
Gemma doesn't suck anymore – 8 bug fixes
Thanks! :) I'm pushing them into transformers, pytorch-gemma and collabing with the Gemma team to resolve all the issues :)
The RoPE fix should already be in transformers 4.38.2: https://github.com/huggingface/transformers/pull/29285
My main PR for transformers which fixes most of the issues (some still left): https://github.com/huggingface/transformers/pull/29402
- HuggingFace Transformers: Qwen2
- HuggingFace Transformers Release v4.36: Mixtral, Llava/BakLlava, SeamlessM4T v2
- HuggingFace: Support for the Mixtral Moe
-
Paris-Based Startup and OpenAI Competitor Mistral AI Valued at $2B
If you want to tinker with the architecture Hugging Face has a FOSS implementation in transformers: https://github.com/huggingface/transformers/blob/main/src/tr...
If you want to reproduce the training pipeline, you couldn't do that even if you wanted to because you don't have access to thousands of A100s.
What are some alternatives?
kafka-python - Python client for Apache Kafka
fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
PyMongo - MongoDB Ecosystem Documentation
sentence-transformers - Multilingual Sentence & Image Embeddings with BERT
django-redis - Full featured redis cache backend for Django.
llama - Inference code for Llama models
py2neo - Py2neo is a comprehensive toolkit for working with Neo4j from within Python applications or from the command line.
transformer-pytorch - Transformer: PyTorch Implementation of "Attention Is All You Need"
asyncpg - A fast PostgreSQL Database Client Library for Python/asyncio.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
Plyvel - Plyvel, a fast and feature-rich Python interface to LevelDB
huggingface_hub - The official Python client for the Huggingface Hub.