deep-learning

JAX-based neural network library

ResNeSt: Split-Attention Networks

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

ONNX-TensorRT: TensorRT backend for ONNX

Carefully curated resource links for data science in one place

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

📚 Jupyter notebook tutorials for OpenVINO™

Open source neural network chess engine with GPU acceleration and broad hardware support.

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

:satellite: Organized Resources for Deep Learning Researchers and Developers

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

Training and serving large-scale neural networks with auto parallelization.

Deep Learning (Python, C, C++, Java, Scala, Go)

Siamese and triplet networks with online pair/triplet mining in PyTorch