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Build realtime AI voice agents using FastRTC for low-latency streaming, Superlinked for vector search, Twilio for live phone calls, and Runpod for scalable GPU deployment.
[IEEE TPAMI 2026] Simulating the Real World: Survey & Resources, which contains our survey "Simulating the Real World: A Unified Survey of Multimodal Generative Models" (IEEE TPAMI, 2026) and Aweso…
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
R&D playground to play with agents and OpenBB
Open Data Platform for analysts, quants and AI agents.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a ca…
A public release of TimelineBuilder for building personal digital data timelines.
TyDi QA contains 200k human-annotated question-answer pairs in 11 Typologically Diverse languages, written without seeing the answer and without the use of translation, and is designed for the trai…
This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.
A playbook for systematically maximizing the performance of deep learning models.
PICARD - Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. PICARD is a ServiceNow Research project that was started at Element AI.
Statistical Rethinking (2nd ed.) with NumPyro
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.
BookNLP, a natural language processing pipeline for books
A curated list of awesome disfluency detection publications along with the released code and bibliographical information
Portfolio analytics for quants, written in Python
Cython implementations of Gibbs sampling for supervised LDA
Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python
NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art resul…
Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"
Magic Mouse 2 driver for Linux.