maxwbuckley/SCBM
Code for Stochastic Concept Bottleneck Models
We must be swift as the coursing river. With all the force of a great typhoon. With all the strength of a raging fire. Mysterious as the dark side of the moon
Code for Stochastic Concept Bottleneck Models
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
NVIDIA cuML: GPU-Accelerated Machine Learning
Ray tracing and hybrid rasterization of Gaussian particles
Unified framework for robot learning built on NVIDIA Isaac Sim
NVIDIA Isaac GR00T N1.7 - A Foundation Model for Generalist Robots.
The unified framework for sim & real robot teleoperation
CUDA Accelerated Robot Library
GPU accelerated decision optimization
EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers https://arxiv.org/abs/2109.08535
cuVS - a library for vector search and clustering on the GPU
real time face swap and one-click video deepfake with only a single image
Exa integration for NVIDIA NeMo Agent Toolkit
Unified Schema-Based Information Extraction
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
[ICLR 26] 1K resolution vision transformers pretrained on 1B human images.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance
The AI-Q NVIDIA Blueprint is an open reference example for building intelligent AI agents that connect to your enterprise data, reason using state-of-the-art models, and deliver trusted business insights.
The NVIDIA NeMo Agent toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents.
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
CUDA Templates and Python DSLs for High-Performance Linear Algebra
Roaring bitmaps in C (and C++), with SIMD (AVX2, AVX-512 and NEON) optimizations: used by Apache Doris, ClickHouse, Alibaba Tair, Redpanda, YDB and StarRocks
CUDA Core Compute Libraries
CUDA Tile IR is an MLIR-based intermediate representation and compiler infrastructure for CUDA kernel optimization, focusing on tile-based computation patterns and optimizations targeting NVIDIA tensor core units.