Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)
- algorithms
- translation
- algorithm-competitions
- algorithms-and-data-structures
Repository Index
47,133 repositories indexed
25–48 of 78 · Most stars
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
- inference
- deep-learning
- openvino
- ai
CUDA Templates and Python DSLs for High-Performance Linear Algebra
- cuda
- deep-learning
- deep-learning-library
- cpp
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
- machine-learning
- decision-trees
- gradient-boosting
- gbm
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
- c-plus-plus
- machine-learning
- online-learning
- contextual-bandits
Fit interpretable models. Explain blackbox machine learning.
- machine-learning
- interpretability
- gradient-boosting
- blackbox
Instant Kubernetes-Native Application Observability
- golang
- kubernetes
- ebpf
- vega
Facebook AI Research's Automatic Speech Recognition Toolkit
- wav2letter
- speech-recognition
- end-to-end
- deep-learning
header only, dependency-free deep learning framework in C++14
- c-plus-plus
- deep-learning
- machine-learning
- neural-network
mlpack: a fast, header-only C++ machine learning library
- machine-learning-library
- c-plus-plus
- deep-learning
- nearest-neighbor-search
A C++ standalone library for machine learning
- flashlight
- machine-learning
- autograd
- cpp
Optimized primitives for collective multi-GPU communication
- communications
- cpp
- cuda
- deep-learning
Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
- onednn
- oneapi
- performance
- cpp
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
Shōgun
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
- vulkan
- vulkan-compute
- vulkan-example
- vulkan-tutorial
An efficient video loader for deep learning with smart shuffling that's super easy to digest
- video-loader
YOLO ROS: Real-Time Object Detection for ROS
- object-detection
- human-detection
- deep-learning
- yolo
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE for ARM, HVX for Hexagon
- simd
- avx
- neon
- image-processing
Reinforcement Learning environments based on the 1993 game Doom :godmode:
- deep-learning
- reinforcement-learning
- python
- vizdoom
open-appsec is a machine learning security engine that preemptively and automatically prevents threats against Web Application & APIs. This repo include the main code and logic.
- api-security
- application-security
- kubernetes
- nginx
ThunderSVM: A Fast SVM Library on GPUs and CPUs
- classification
- regression
- one-class-learning
- cuda
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
- reinforcement-learning
- parallel-processing
- cpp17
- pybind11