Rishab Mallick's starred repositories
styleguide
Style guides for Google-originated open-source projects
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
haystack
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
cs231n.github.io
Public facing notes page
LLocalSearch
LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress of the agents and the final answer. No OpenAI or Google API keys are needed.
machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Applied-Deep-Learning
Applied Deep Learning Course
annotated_research_papers
This repo contains annotated research papers that I found really good and useful
python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
pytextrank
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
langdetect
Port of Google's language-detection library to Python.
recipes
Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research techniques without significant engineering overhead.Specifically, recipes aims to provide- Consistent access to pre-trained SOTA models ready for production- Reference implementations for SOTA research reproducibility, and infrastructure to guarantee correctness, efficiency, and interoperability.
aibench-llm-endpoints
Runner in charge of collecting metrics from LLM inference endpoints for the Unify Hub
antmarakis.github.io
my minimalist blog thing