Tsmith5151's Stars
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
google-research/bert
TensorFlow code and pre-trained models for BERT
zsh-users/zsh-autosuggestions
Fish-like autosuggestions for zsh
k3s-io/k3s
Lightweight Kubernetes
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
viatsko/awesome-vscode
🎨 A curated list of delightful VS Code packages and resources.
onnx/onnx
Open standard for machine learning interoperability
PrefectHQ/prefect
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
iterative/dvc
🦉 Data Versioning and ML Experiments
bloomberg/memray
Memray is a memory profiler for Python
great-expectations/great_expectations
Always know what to expect from your data.
ethereum-mining/ethminer
Ethereum miner with OpenCL, CUDA and stratum support
k3d-io/k3d
Little helper to run CNCF's k3s in Docker
marcel-dempers/docker-development-youtube-series
audreyfeldroy/cookiecutter-pypackage
Cookiecutter template for a Python package.
iterative/cml
♾️ CML - Continuous Machine Learning | CI/CD for ML
jorisschellekens/borb
borb is a library for reading, creating and manipulating PDF files in python.
aws-cloudformation/cfn-lint
CloudFormation Linter
microsoft/DirectML
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.
aws/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
mit-han-lab/temporal-shift-module
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
linkedin/greykite
A flexible, intuitive and fast forecasting library
studioimaginaire/phue
A Python library for the Philips Hue system
abhishekkrthakur/autoxgb
XGBoost + Optuna
amzn/pecos
PECOS - Prediction for Enormous and Correlated Spaces
amitkaps/recommendation
Recommendation System using ML and DL
slickml/slick-ml
SlickML 🧞: Slick Machine Learning in Python
Tsmith5151/coding-challenges
Python coding challenges and implementing Machine Learning algorithms from scratch.
Tsmith5151/data-science-handbook
A collection of data science and machine learning technical concepts.