osmanbaskaya

tailwindui-pocket

interface

🦄 Open source interfaces for the Uniswap protocol

narrator

David Attenborough narrates your life

langchain

🦜🔗 Build context-aware reasoning applications

cloud-foundation-toolkit

The Cloud Foundation toolkit provides GCP best practices as code.

terraform-google-gcloud

Executes Google Cloud CLI commands within Terraform

poetry

Python packaging and dependency management made easy

multi-task-NLP

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

colossus

Colossus — An example microservice architecture for Kubernetes using Bazel, Go, Java, Docker, Kubernetes, Minikube, Gazelle, gRPC, Prometheus, Grafana, and more

full-stack-fastapi-template

Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.

skuba

CLI tool used to simplify (or orchestrate) kubeadm-based Kubernetes cluster deployment and update

kops

Kubernetes Operations (kOps) - Production Grade k8s Installation, Upgrades and Management

draft-classic

A tool for developers to create cloud-native applications on Kubernetes.

skaffold

Easy and Repeatable Kubernetes Development

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

polyaxon

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

fastbook

The fastai book, published as Jupyter Notebooks

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

pytorch-struct

Fast, general, and tested differentiable structured prediction in PyTorch

nlp-tutorial

A list of NLP(Natural Language Processing) tutorials

tf-explain

Interpretability Methods for tf.keras models with Tensorflow 2.x

primerpython

code that makes videos for this: youtube.com/c/primerlearning

Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

pampy

Pampy: The Pattern Matching for Python you always dreamed of.

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

thinc

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

freebase-triples

A methodology to process triples data from the Freebase data dumps.

papers

:paperclip: Summaries of papers on deep learning