Tensors and Dynamic neural networks in Python with strong GPU acceleration

Models and examples built with TensorFlow

A high-throughput and memory-efficient inference and serving engine for LLMs

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)

A Simple and Versatile Framework for Object Detection and Instance Recognition

[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

Simple samples for TensorRT programming

OpenMMLab Model Compression Toolbox and Benchmark.

An implementation of CycleGan using TensorFlow

Minimalistic large language model 3D-parallelism training

A curated list for Efficient Large Language Models

pytorch memory track code

Cancer metastasis detection with neural conditional random field (NCRF)

TensorRT Model Optimizer is a unified library of state-of-the-art model optimization techniques such as quantization, pruning, distillation, etc. It compresses deep learning models for downstream d…

Codebase and pretrained models for ECCV'18 Unified Perceptual Parsing

Tensorflow implementation of CycleGAN

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

Feature Pyramid Network

TF Implementation of Multiple Instance Learning FCN.

an implementation of holistically nested edge detection using TensorFlow

An action for ChatGPT's GPTs to get source code from github repository.

MXNet implementation of SEC

A python implementation of KITTI evaluation code for 2D detection task.

ADVERSARIAL LEARNING FOR SEMI-SUPERVISED SEMANTIC SEGMENTATION tensorflow