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deep-learning-books icon deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。

filterpy icon filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

haveged icon haveged

Entropy daemon ![Continuous Integration](https://github.com/jirka-h/haveged/workflows/Continuous%20Integration/badge.svg)

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

llama2.c icon llama2.c

Inference Llama 2 in one file of pure C

micrograd icon micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

nanogpt icon nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

rapid.pytorch icon rapid.pytorch

RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images (CVPR 2020 Workshops)

refinedet icon refinedet

Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

ssd.pytorch icon ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

streamyolo icon streamyolo

Real-time Object Detection for Streaming Perception, CVPR 2022

tilck icon tilck

A Tiny Linux-Compatible Kernel

vueblog icon vueblog

A SpringBoot+Vue blog project example

yolov4.pytorch icon yolov4.pytorch

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

yolov7 icon yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

yolov7-training icon yolov7-training

A clean, modular implementation of the Yolov7 model family, which uses the official pretrained weights, with utilities for training the model on custom (non-COCO) tasks.

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