HoltechHard

Get-Things-Done-with-Prompt-Engineering-and-LangChain

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

LLM-Finetuning

LLM Finetuning with peft

NAF

project_syncfusion_dashboard

This is a code repository for the corresponding YouTube video. In this tutorial we are going to build and deploy a an admin dashboard app using React.js and Syncfusion

hands-on-train-and-deploy-ml

Train and Deploy an ML REST API to predict crypto prices, in 10 steps

IBM_MLwithSpark

Scalable Machine Learning on Big Data using Apache Spark

HMP_Dataset

component-library

The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.

applied-ml

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

PracticalSessions2020

Repository for tutorial sessions at EEML2020

symbolic_deep_learning

Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"

cnn-rnn-lstm-image-recognition

A deep learning project written in PyTorch, intended as a comparison between a convolutional neural network, recurrent neural network and ConvNet + LSTM for image recognition on MNIST dataset.

Applied-Deep-Learning-with-PyTorch

Demystify neural networks with PyTorch

OpenSource-RoadMap-DataScience

¡Camino a una educación autodidacta en Ciencia de Datos!

monk_v1

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

Monk_Gui

A Graphical user Interface for deep learning and computer vision over Monk Libraries

Disease-Detection-Using-Xray

Data-Science--Cheat-Sheet

Cheat Sheets

eye-in-the-sky

Satellite Image Classification using semantic segmentation methods in deep learning

rlkit

Collection of reinforcement learning algorithms

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

ganhacks

starter from "How to Train a GAN?" at NIPS2016

LCFCN

ECCV 2018 - Where are the Blobs: Counting by Localization with Point Supervision. This is a ServiceNow Research project that was started at Element AI.

DeepZine

Synthetic book pages created with a PGGAN

awesome-pytorch-scholarship

A list of awesome PyTorch scholarship articles, guides, blogs, courses and other resources.

DL_PyTorch

Code for the Deep Learning with PyTorch lesson

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

DeepLearningProject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.