Maschinelles Lernen · GitHub

PyTorch implementation of YOLOv5, YOLOv6, YOLOv7, YOLOv8, Sort, StrongSort, OcSort, ByteTrack, Norfair

A PyTorch implementation of Listen, Attend and Spell (LAS), an End-to-End ASR framework.

Basic versions of agents from Spinning Up in Deep RL written in PyTorch

Named Entity Recognition with BERT using TensorFlow 2.0

Pytorch Implementation of QATM:Quality-Aware Template Matching For Deep Learning

KIF - Key Interactions Finder. A python package to identify the key molecular interactions that regulate any conformational change.

Selection of resources to learn Artificial Intelligence / Machine Learning / Deep Learning

Deformable Convolution in TensorFlow / Keras

GPU-accelerated RCWA with automatic differentiation

Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.

Implementation Code of the paper Optical Flow Guided Feature, CVPR 2018

Supervised Semantics-preserving Deep Hashing (TPAMI18)

Pre-made chains/templates for chaiNNer. Pytorch, NCNN, and ONNX included.

Implementation of the paper "No Reference Image Quality Assessment in the Spatial Domain" by A Mittal et al. in OpenCV (using both C++ and Python)

Neural Scene Flow Fields using pytorch-lightning, with potential improvements

TensorFlow implementation of the Xception Model by François Chollet

PyTorch Implementation of Jamba: "Jamba: A Hybrid Transformer-Mamba Language Model"

Repository for codes of 'Deep Reinforcement Learning'

Machine learning-based integration model with elegant performance

Universal machine-learning models for advanced atomistic simulations

A Three Party MPC framework for Machine learning and Databases