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acmix

Official repository of ACmix (CVPR2022)

alphapose

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

apachecn-c-cpp-zh

:books: [译] ApacheCN C/C++ 译文集

basic_knowledge

The project gather basic knowleage about machine learning and deep learning, contains math, coding.

crnn.pytorch

Convolutional recurrent network in pytorch

cuda-by-example-source-code-for-the-book-s-examples-

CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples.

cuda-tutorial

CUDA 编程指南学习

cuml

cuML - RAPIDS Machine Learning Library

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

ebooks

A repository for ebooks， including C, C plus plus, Linux Kernel, Compiler, OS, Algorithm, Security, Database, Network, ML and DL

effectivepython

effectivepython_hyl

Effective Python: Second Edition — Source Code and Errata for the Book

flash-attention

Fast and memory-efficient exact attention

internimage

[CVPR 2023] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

lightseq

LightSeq: A High Performance Library for Sequence Processing and Generation

paddle_hourglass

Implement HourGlass by paddlepaddle

ppq

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

professional-cuda-c-programming

pytorchskills

rich

Rich is a Python library for rich text and beautiful formatting in the terminal.

rnn_pytorch_tutorials

swordoffer

tensorrt-llm

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

text

Data loaders and abstractions for text and NLP