- Berlin, Germany
- https://www.rashad.ai/
- @rashad_al_hasan
- in/md-rashad
Stars
Code samples for my book "Neural Networks and Deep Learning"
Toolkit for attaching, training, saving and loading of new heads for transformer models
A simple, modern and secure encryption tool (and Go library) with small explicit keys, no config options, and UNIX-style composability.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Machine Learning Engineering Open Book
A concise but complete full-attention transformer with a set of promising experimental features from various papers
Solutions to coding problems of Java, Python and SQL that can occur through high-tier interviews or while implementing algorithms used here in daily jobs & preparation advices for interviews.
Bangla tutorial, reference and resource list on programming topics
An Open-Source Framework for Prompt-Learning.
Must-read papers on prompt-based tuning for pre-trained language models.
FastAPI Best Practices and Conventions we used at our startup
PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
Free MLOps course from DataTalks.Club
πΊ Discover the latest machine learning / AI courses on YouTube.
A Knowledge Grounded Conversation (KGC) Paper Reading List Maintained by Chuan Meng.
Official Repository for "Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection", ACL 2022
Materials for ACL-2022 tutorial: Knowledge-Augmented Methods for Natural Language Processing
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Toy example of an applied ML pipeline for me to experiment with MLOps tools.