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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

autoannoter

autoAnnoter its a tool to auto annotate data using a exisiting model

aws-deepracer-workshops

DeepRacer workshop content

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

bot-sort

BoT-SORT: Robust Associations Multi-Pedestrian Tracking

browser-ml-inference-emoji-nlp

Edge Inference in Browser with Transformer NLP model

build-your-own-x

🤓 Build your own (insert technology here)

connect-lex-integration-bookappointment

covid19india-cluster

:microscope: COVID19 India Cluster Network

dall-e

PyTorch package for the discrete VAE used for DALL·E.

deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deep-learning-workshop

Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data

deeppicar

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

dsa---interview-review

dsa-practice

Practicing and Learning Data Structures and Algorithms.

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

js-ml-with-maps-gis

ArcGIS API for JavaScript + Tensorflow.js Sample

keras

Deep Learning for humans

labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

learning-rnns

Try out different sequence modeling with RNNs (1:1, 1:n, n:1, n:n). Adopted from MIT 6.S191.

live-spotify-activity

Dynamic realtime profile ReadMe linked with spotify

ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

ml-notebooks

:fire: A series of code examples for all sorts of machine learning tasks and applications.

object-tracking-using-yolov5-and-deepsort

onnx---models

A collection of pre-trained, state-of-the-art models in the ONNX format

palm-rlhf-pytorch-nlp-

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

penguinv

Simple and fast C++ image processing library with focus on heterogeneous systems

plinythemid

i am