An Open Source Machine Learning Framework for Everyone

Caffe: a fast open framework for deep learning.

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Productive, portable, and performant GPU programming in Python.

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

FlashMLA: Efficient Multi-head Latent Attention Kernels

A Python-embedded modeling language for convex optimization problems.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

JPEG XL image format reference implementation

An efficient video loader for deep learning with smart shuffling that's super easy to digest

Welcome to GR00T Whole-Body Control (WBC)! This is a unified platform for developing and deploying advanced humanoid controllers. This includes: Decoupled WBC models used in NVIDIA Isaac-Gr00t, Gr0…

move forward to https://github.com/dmlc/mxnet

A library that uses hardware acceleration to load sequences of video frames to facilitate machine learning training

LSTM implementation on Caffe

Extracting optical flow and frames

C++ implementation of LSTM (Long Short Term Memory), in Kaldi's nnet1 framework. Used for automatic speech recognition, possibly language modeling etc, the training can be switched between CPU and …

Code for the paper "Accurate Optical Flow via Direct Cost Volume Processing. Jia Xu, René Ranftl, and Vladlen Koltun. CVPR 2017"