Trending AI reposUpdated daily from GitHub

Open Source Data Security Platform for Developers to Monitor and Detect PII, Anonymize Production Data and Sync it across environments.

MQTT gateway for ESP8266 or ESP32 with bidirectional 433mhz/315mhz/868mhz, Infrared communications, BLE, Bluetooth, beacons detection, mi flora, mi jia, LYWSD02, LYWSD03MMC, Mi Scale, TPMS, BBQ thermometer compatibility & LoRa.

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

An open-source framework for training large multimodal models.

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

Learning to Learn in TensorFlow

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

The official CLI and Python client for the Hugging Face Hub.

Model summary in PyTorch similar to `model.summary()` in Keras

3D ResNets for Action Recognition (CVPR 2018)

人像卡通化探索项目 (photo-to-cartoon translation project)

Vector (and Scalar) Quantization, in Pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

A retargetable MLIR-based machine learning compiler and runtime toolkit.

Interactive Image Generation via Generative Adversarial Networks

SOTA Re-identification Methods and Toolbox

A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.

Differentiable architecture search for convolutional and recurrent networks

Learning in infinite dimension with neural operators.

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

Simple PyTorch Tutorials Zero to ALL!

TVM Documentation in Chinese Simplified / TVM 中文文档

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Visual Tracking Paper List

A highly efficient implementation of Gaussian Processes in PyTorch

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

Awesome Knowledge Distillation

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Easiest and laziest way for building multi-agent LLMs applications.

Machine learning resources

Notes about courses Dive into Deep Learning by Mu Li

PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/

OpenMMLab Pre-training Toolbox and Benchmark

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

Compute FID scores with PyTorch.

Facilitating the design, comparison and sharing of deep text matching models.

This is Andrew NG Coursera Handwritten Notes.

Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs

A python library for self-supervised learning and latent world models on images.

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

周志华《机器学习》手推笔记

Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】