XGBoost

Gradient is a framework for training research agents with reinforcement learning. It exposes the agents’ searches, citations, tool calls, and evaluation results.

DeepGEMM is a unified CUDA library of GPU tensor-core kernels for computation primitives used by large language models. It provides FP8, FP4, and BF16 GEMMs; grouped and masked GEMMs for mixture-of-experts models; fused Mega MoE kernels that overlap expert-parallel dispatch and combine with linear layers, SwiGLU, NVLink communication, and tensor-core computation; and non-paged and paged MQA scoring kernels for the DeepSeek v3.2 lightning indexer. The repository also includes weight-gradient kernels and utilities for tensor layouts, scaling factors, programmatic dependent launch, deterministic algorithms, and JIT configuration.

gbrain is a hosted, cloud-based AI agent with persistent, long-term memory that adapts to a user’s preferences and way of thinking. It provides built-in skills for personal use and shared “brains” that support collaboration within teams and organizations.

AutoGluon is an open-source Python machine-learning library for automated modeling of tabular data, time series, and other data types. It trains end-to-end predictive models by selecting and combining suitable algorithms, including classic machine-learning models, ensembles, and foundation models; its tabular API can fit a predictor from a training file and generate test-set predictions with a few lines of code. The library supports Python 3.10–3.13 on Linux, macOS, and Windows, with optional GPU support, and is licensed under Apache 2.0.

Grok is a consumer-facing AI assistant and chatbot developed by xAI, providing conversational assistance, personalized responses, image generation, code writing, and real-time answers sourced from the web and X. It is available through web and mobile experiences and integrated with the X platform.