Stars
A C++ standalone library for machine learning
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy https://visdom.dev
Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Efficiently computes derivatives of NumPy code.
A Simple and Versatile Framework for Object Detection and Instance Recognition
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
An open optimized software library project for the ARM® Architecture
Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
👦 👧 Technical-Interview guidelines written for those who started studying programming. I wish you all the best. 👾
AddressSanitizer, ThreadSanitizer, MemorySanitizer
Portable (POSIX/Windows/Emscripten) thread pool for C/C++
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators
An open-source NLP research library, built on PyTorch.
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
A Pytorch implementation of "FloWaveNet: A Generative Flow for Raw Audio"
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
OpenMMLab Detection Toolbox and Benchmark
FeatherCNN is a high performance inference engine for convolutional neural networks.