Muthukamalan's Stars
bcicen/ctop
Top-like interface for container metrics
vantage-sh/ec2instances.info
Amazon EC2 instance comparison site
godatadriven/data-pipelines-with-airflow-2nd-ed
Code for the second edition of Data Pipelines with Apache Airflow Book
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
OlafenwaMoses/ImageAI
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—foundation models
tigerchen52/awesome_role_of_small_models
a curated list of the role of small models in the LLM era
RahulSChand/gpu_poor
Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization
jzhang38/TinyLlama
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
linkedin/Liger-Kernel
Efficient Triton Kernels for LLM Training
seerge/g-helper
Lightweight Armoury Crate alternative for Asus laptops and ROG Ally. Control tool for ROG Zephyrus G14, G15, G16, M16, Flow X13, Flow X16, TUF, Strix, Scar and other models
scikit-learn-contrib/project-template
A template for scikit-learn extensions
theanalyst/awesome-distributed-systems
A curated list to learn about distributed systems
AZHenley/teenytinycompiler
A small BASIC-to-C compiler written in Python.
whoknowsb/google-brain-ventilator-pressure-prediction
shap/shap
A game theoretic approach to explain the output of any machine learning model.
graviraja/MLOps-Basics
kubeflow/kubeflow
Machine Learning Toolkit for Kubernetes
jalammar/ecco
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
haotian-liu/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
microsoft/Phi-3CookBook
This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open sourced AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.
pytorch-labs/gpt-fast
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
microsoft/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
changzy00/pytorch-attention
🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥
bartekspitza/dotfiles
suneeta-mall/deep_learning_at_scale
Contains hands-on example code for [O'reilly book "Deep Learning At Scale"](https://www.oreilly.com/library/view/deep-learning-at/9781098145279/).
iver56/audiomentations
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
CASIA-IVA-Lab/FastSAM
Fast Segment Anything
yformer/EfficientSAM
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything