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Lists (16)
00 🧊 Observability
Tools for observability!001 🤖 eBPF
eBPF related observability technologies01 ☸️ Kubernetes
011 👀 Kubernetes - Ideas
02 🕸️ Network Mesh
03 🧙♂️ AI & Machine Learning
04 🗂 Virtualization
05 🤖 DevOps
Stars
A latent text-to-image diffusion model
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
🔊 Text-Prompted Generative Audio Model
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
A guidance language for controlling large language models.
StableLM: Stability AI Language Models
Kubernetes community content
Neural Networks: Zero to Hero
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
QLoRA: Efficient Finetuning of Quantized LLMs
Official inference library for Mistral models
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Collection of notebooks about quantitative finance, with interactive python code.
A collection of infrastructure and tools for research in neural network interpretability.
Homepage for STAT 157 at UC Berkeley
felixge's notes on the various go profiling methods that are available.
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, suc…
IPython Parallel: Interactive Parallel Computing in Python
DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf
Datasets, tools, and benchmarks for representation learning of code.
A proof-of-concept jupyter extension which converts english queries into relevant python code
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
Official content for Harvard CS109
My solution to the book A Collection of Data Science Take-Home Challenges