Apprentissage automatique · GitHub

PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.

• Native Python support - You can create any Python function and expose it as an HTTP/gRPC API.
• Framework-agnostic - You can run any Python code with any framework of your choice, such as: PyTorch, TensorFlow, or JAX.

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

CS2 external cheat with ESP, aimbot, triggerbot, and bhop — undetected, no injection, runs as a separate process.

SFrame: Scalable tabular and graph data-structures built for out-of-core data analysis and machine learning.

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802

Crystal graph convolutional neural networks for predicting material properties.

Learning to trade under the reinforcement learning framework

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

Resources on Music Generation with Deep Learning

Obstacle Tower Environment

Some custom dataset examples for PyTorch