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github-actions[bot] authored Feb 2, 2024
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- [hacktoberfest](#hacktoberfest)
- [html](#html)
- [image-processing](#image-processing)
- [iot](#iot)
- [java](#java)
- [javascript](#javascript)
- [json](#json)
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- [simonw/llm](https://github.com/simonw/llm) - Access large language models from the command-line
- [IBM/zshot](https://github.com/IBM/zshot) - Zero and Few shot named entity & relationships recognition
- [explosion/spaCy](https://github.com/explosion/spaCy) - 💫 Industrial-strength Natural Language Processing (NLP) in Python
- [Kong/kong](https://github.com/Kong/kong) - 🦍 The Cloud-Native API Gateway

## api

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- [AI4LAM/awesome-ai4lam](https://github.com/AI4LAM/awesome-ai4lam) - A list of awesome AI in libraries, archives, and museum collections from around the world 🕶️
- [marimo-team/marimo](https://github.com/marimo-team/marimo) - A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
- [explosion/spaCy](https://github.com/explosion/spaCy) - 💫 Industrial-strength Natural Language Processing (NLP) in Python
- [Kong/kong](https://github.com/Kong/kong) - 🦍 The Cloud-Native API Gateway

## automation

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## deep-learning

- [BlinkDL/RWKV-LM](https://github.com/BlinkDL/RWKV-LM) - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, sa
- [saharNooby/rwkv.cpp](https://github.com/saharNooby/rwkv.cpp) - INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model
- [RWKV/rwkv.cpp](https://github.com/RWKV/rwkv.cpp) - INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model
- [bigscience-workshop/petals](https://github.com/bigscience-workshop/petals) - 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
- [NVIDIA/NeMo](https://github.com/NVIDIA/NeMo) - NeMo: a toolkit for conversational AI
- [sanchit-gandhi/whisper-jax](https://github.com/sanchit-gandhi/whisper-jax) - JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
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- [mapluisch/LLaVA-CLI-with-multiple-images](https://github.com/mapluisch/LLaVA-CLI-with-multiple-images) - LLaVA inference with multiple images which get concatenated pre-inference.
- [imdeepmind/hocrox](https://github.com/imdeepmind/hocrox) - Hocrox: An image preprocessing and augmentation library with Keras like interface.

## iot

- [Kong/kong](https://github.com/Kong/kong) - 🦍 The Cloud-Native API Gateway

## java

- [DSpace/DSpace](https://github.com/DSpace/DSpace) - (Official) The DSpace digital asset management system that powers your Institutional Repository
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## machine-learning

- [saharNooby/rwkv.cpp](https://github.com/saharNooby/rwkv.cpp) - INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model
- [RWKV/rwkv.cpp](https://github.com/RWKV/rwkv.cpp) - INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model
- [bigscience-workshop/petals](https://github.com/bigscience-workshop/petals) - 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
- [AI4LAM/awesome-ai4lam](https://github.com/AI4LAM/awesome-ai4lam) - A list of awesome AI in libraries, archives, and museum collections from around the world 🕶️
- [marimo-team/marimo](https://github.com/marimo-team/marimo) - A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
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## others

- [allenai/OLMo](https://github.com/allenai/OLMo) - Modeling, training, eval, and inference code for OLMo
- [argmaxinc/whisperkittools](https://github.com/argmaxinc/whisperkittools) - Python tools for WhisperKit: Model conversion, optimization and evaluation
- [instillai/extract-audio-from-video-gpu](https://github.com/instillai/extract-audio-from-video-gpu) - Extracting audio from video using GPU-accelerated FFMPEG
- [KarelDO/xmc.dspy](https://github.com/KarelDO/xmc.dspy) - In-Context Learning for eXtreme Multi-Label Classification (XMC) using only a handful of examples.
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