Law101's Stars
fastapi/fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
bregman-arie/devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
BurntSushi/ripgrep
ripgrep recursively searches directories for a regex pattern while respecting your gitignore
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
MichaelCade/90DaysOfDevOps
This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
fastapi/full-stack-fastapi-template
Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
mindsdb/mindsdb
The platform for building AI from enterprise data
astral-sh/uv
An extremely fast Python package and project manager, written in Rust.
ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Delgan/loguru
Python logging made (stupidly) simple
visenger/awesome-mlops
A curated list of references for MLOps
mre/idiomatic-rust
🦀 A peer-reviewed collection of articles/talks/repos which teach concise, idiomatic Rust.
alirezamika/autoscraper
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
dair-ai/ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
ralfbiedert/cheats.rs
Rust Language Cheat Sheet - https://cheats.rs
kelvins/awesome-mlops
:sunglasses: A curated list of awesome MLOps tools
GokuMohandas/mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
agronholm/sqlacodegen
Automatic model code generator for SQLAlchemy
DevashishPrasad/CascadeTabNet
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
eugeneyan/ml-design-docs
📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
neo4j-labs/neodash
NeoDash - a Dashboard Builder for Neo4j
tsoding/seroost
Local Search Engine
daddydrac/-deprecated-NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV
Computer vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA 11.8, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, PyTorch geometric for Graph Neural Networks, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.
luisguiserrano/hmm
An implementation of the Viterbi Algorithm for training Hidden Markov models. This repo accompanies the video found here: https://www.youtube.com/watch?v=kqSzLo9fenk
elizabethts/deploy-mlm-flask-heroku
Deploy a ML model with Flask to Heroku
chembl/autoencoder_ipython
Ipython notebook for blog post entry
GokuMohandas/follow
akshaykadam771/Wine-Quality-Prediction
Law101/A-Rapid-Prototyping-Framework-for-Human-Robot-Interaction