All Algorithms implemented in Python

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

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

Deep Learning for humans

Clone a voice in 5 seconds to generate arbitrary speech in real-time

Deepfakes Software For All

TensorFlow code and pre-trained models for BERT

A toolkit for developing and comparing reinforcement learning algorithms.

Automatic SQL injection and database takeover tool

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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PyTorch implementations of Generative Adversarial Networks.

Fast and Accurate ML in 3 Lines of Code

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Keras implementations of Generative Adversarial Networks.

An Industrial Grade Federated Learning Framework

Deep Reinforcement Learning for Keras.

A tool that automatically formats Python code to conform to the PEP 8 style guide.

PyTorch ,ONNX and TensorRT implementation of YOLOv4

A non-validating SQL parser module for Python

Keras Attention Layer (Luong and Bahdanau scores).

Learning Chinese Character style with conditional GAN

A unified framework for privacy-preserving data analysis and machine learning

记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

An open-source framework for machine learning and other computations on decentralized data.

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

SDG is a specialized framework designed to generate high-quality structured tabular data.

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow