WessZumino

Random-Matrix-theory-for-pedestrians

comp-phys

Computational Physics

d2l-en

An interactive deep learning book with code, math, and discussions.

CDM

The Common Data Model (CDM) is a standard and extensible collection of schemas (entities, attributes, relationships) that represents business concepts and activities with well-defined semantics, to facilitate data interoperability. Examples of entities include: Account, Contact, Lead, Opportunity, Product, etc.

cgm-ml

Child Growth Monitor Machine Learning

ComputerVision

Best Practices, code samples, and documentation for Computer Vision.

darknet

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

dnn-rmt-spacings

edward2

A lightweight probabilistic programming language in NumPy or TensorFlow.

FairMOT

A simple baseline for one-shot multi-object tracking

FCOS

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

fx-trading

Toy trading system using python and implementing a martingale trading strategy

langchain

⚡ Building applications with LLMs through composability ⚡

Mastering-Reinforcement-Learning-with-Python

Mastering Reinforcement Learning with Python, published by Packt

mmdetection

Open MMLab Detection Toolbox and Benchmark

netket

Machine learning algorithms for many-body quantum systems

Object-detection

Object detection project for real-time (webcam) and offline (video processing) application.

opytimizer

🐦 Opytimizer is a Python library consisting of meta-heuristic optimization techniques.

or-tools

Google's Operations Research tools:

PAising

Paper: Computer Physics Communications, 220, 341-350 (2017); Preprint: https://arxiv.org/abs/1703.03676

pytorch-balanced-batch

A pytorch dataset sampler for always sampling balanced batches.

pytorch-hessian-eigenthings

Efficient PyTorch Hessian eigendecomposition tools!

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

routing

Semantics-Aligned-Representation-Learning-for-Person-Re-identification

This is an implementation of AAAI'20 paper "Semantics-Aligned Representation Learning for Person Re-identification". We leverages dense semantics to address both the spatial misalignment and semantics misalignment challenges in person re-identification.

SiamDW

Deeper and Wider Siamese Networks for Real-Time Visual Tracking

videoflow

Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.

WessZumino.github.io

ww-phys_theory

Notebooks for the ww phys-theory channel

YoloV4

Yolo v4 in pytorch