yusahmed4321

data-scientist-handbook

This is a repo with links to everything you'd ever want to learn about data science

stanza

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

chameleon

Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.

next.js

The React Framework

PyKE_ExpertSystem_Example_BMIN520

Example PyKE code and Jupyter Notebook for a simple backwards chaining expert system as described in this lecture on YouTube: https://www.youtube.com/watch?v=mzsk5_EmZq8

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Expert-Systems-Guide

Expert Systems Guide

spaCy

💫 Industrial-strength Natural Language Processing (NLP) in Python

nltk

NLTK Source

mathematicalSets

A program that manipulates mathematical sets, allowing users to input elements, perform set operations, and search for specific elements.

MSR_20_Code_vulnerability_CSV_Dataset

A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries

mistral-finetune

awesome-dataviz

:chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.

StructuredNNs

Structured Neural Networks

cookbook

Open-source AI cookbook

devin-swebench-results

Cognition's results and methodology on SWE-bench

OpenDevin

🐚 OpenDevin: Code Less, Make More

exoplanets

Colony Sim Game using Django and Azure Cosmos DB

BAP3

Figures and code examples from Bayesian Analysis with Python (third edition)

fullstack-course4

Example code for HTML, CSS, and Javascript for Web Developers Coursera Course

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

The-Deep-Learning-Architect-Handbook

The Deep Learning Architect’s Handbook, published by Packt

alphageometry

BIG-bench

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

GraphPPL.jl

DSL for probabilistic models specification and probabilistic programming.

PGM-plus

A C++ Probabilistic Graphical Model Library

NeMo

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

XpertAI

Extract structure-functions from data using XAI and LLMs