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agent-search

AgentSearch is a framework for powering search agents and enabling customizable local search.

akasha-db

building database from 0

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

arxiv-clusters

biometrics

Biometric Subject Verification and Identification Based Upon Electrocardiographic Signals

boston-experiments

Model Interpretation based on SHAP values. Feature inspection on Giskard platform.

chatty

A chatbot application build with OpenAI's ChatGPT API.

cheatsheet

cheatsheets

Official Matplotlib cheat sheets

continousmodeldeployment

This is code depository for my upcoming session. Will update details post the session

copilot-clone

VSCode extension for code suggestion

dat5

General Assembly's Data Science course in Washington, DC

data-repo

just files

deep_learning_helpers

deepsparse

Neural network inference engine that delivers GPU-class performance for sparsified models on CPUs

deployingmodels

Scripts in Python to Create APIs and Deploy models from udemy Class

dogoapp

Breed recognition app

fakenewsclassification

transfer learning on MURA X-rays dataset with VGG16

fine-tuning-bert

BERT model for Spam filtering

first_app

tf model docker gcp

giskard-examples

Giskard demo notebooks 🧑🏽‍🏫

giskard-regression

Creating Recommendation Systems using Nearest Neighbors

google-api-python-client

🐍 The official Python client library for Google's discovery based APIs.

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpt-google-search-bot

made a chatbot based on openai gpt model that can search google. made with langchain and gradio ui

gpt-index

repo for testing data ingestion for gpt based bots

gpt-neox

An implementation of model parallel GPT-3-like models on GPUs, based on the DeepSpeed library. Designed to be able to train models in the hundreds of billions of parameters or larger.

gptdeploy

One line to create them all

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hugo-gcp-deploy