zephelhe Goto Github PK

3d-machine-learning

A learning resource repository for 3D machine learning

3d-unet--tensorflow

3D Unet for Isointense Infant Brain Image Segmentation

3dunet_abdomen_cascade

3pu_pytorch

pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<

amm-arbitrageur

An arbitrage bot between Uniswap AMMs

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

awesome-systematic-trading

A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资

awesome_3dreconstruction_list

A curated list of papers & resources linked to 3D reconstruction from images.

bayesian_benchmarks

A community repository for benchmarking Bayesian methods

bayesian_neural_network_papers

Papers for Bayesian-NN

binance-rs-async

Async client for the Binance APIs

cath_quant

course_projects

crf_wrap

matlab and python wrap of crf and dense crf, both 2d and 3d are supported

crfasrnn_keras

CRF-RNN Keras/Tensorflow version

crfasrnnlayer

Conditional Random Fields as Recurrent Neural Networks (Tensorflow)

crypto-rl

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deeplearning-models

A collection of various deep learning architectures, models, and tips

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation

dense3dcrf

Fully-connected (dense) 3D CRF for processing biomedical scans

hftbacktest

A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.

hkust-thesis

HKUST Thesis LaTeX3 Template (2021-)

image_segmentation

pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

implicit-variational-inference

The collection of recent papers about variational inference

machine-learning-for-algorithmic-trading-second-edition

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

medical-imaging-datasets

A list of Medical imaging datasets.

miccai2019-opensourcepapers

MICCAI 2019 Open Source Papers