deep-learning

This is the repo for our new project Highly Accurate Dichotomous Image Segmentation

Unofficial implemention of lanenet model for real time lane detection

General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.

Deep Learning Server and CLI for Torch and TensorRT

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

NLP made easy

Automatic architecture search and hyperparameter optimization for PyTorch

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Collection of popular and reproducible image denoising works.

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

YoloV3 Implemented in Tensorflow 2.0

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

Summaries of machine learning papers

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008