Stars
Verbalized Sampling, a training-free prompting strategy to mitigate mode collapse in LLMs by requesting responses with probabilities. Achieves 2-3x diversity improvement while maintaining quality. …
My small cheatsheets for data science, ML, computer science and more.
Popular algorithms explained in simple language with examples and links to their implementation in various programming languages and other required resources.
Enhancing User Experience with Visual Controls for Local Differential Privacy
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Elastic Malware Benchmark for Empowering Researchers
A curated list of academic blockchain-related papers
Collection of impressive LLM apps with a focus on the financial sector
The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
📦 Module thinking, principles, design patterns and best practices.
A curated list of threat modeling resources (Books, courses - free and paid, videos, tools, tutorials and workshops to practice on ) for learning Threat modeling and initial phases of security review.
21 Lessons, Get Started Building with Generative AI
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
DenseFuse (IEEE TIP 2019, Highly Cited Paper) - Python 3.6, TensorFlow 1.8.0
Expert resume guide for experienced software engineers
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security,…
TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation.
Code for Paper: “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors
OCR on unsearchable and large PDF file
Machine Learning Course, Sharif University of Technology
Source for book "Feature Engineering A-Z"
Learn ML engineering for free in 4 months! Register here 👇🏼