Training Open Source Projects

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.

State-of-the-art 2D and 3D Face Analysis Project

This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org

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

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

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

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

A Deep Learning based project for colorizing and restoring old images (and video!)

Ongoing research training transformer models at scale

Pragmatic, balanced FP in JavaScript. @FLJSBook on twitter.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

GPT-3: Language Models are Few-Shot Learners

Software to automate the management and configuration of infrastructure and applications at scale.

End-to-End Object Detection with Transformers

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Face recognition using Tensorflow

Python training for business analysts and traders

Damn Vulnerable Web Application (DVWA)

A framework for few-shot evaluation of language models.

This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs

Go Training Class Material :

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Image-to-image translation with conditional adversarial nets

Android官方培训课程中文版

:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Trax — Deep Learning with Clear Code and Speed

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

Simple feed-forward neural network in JavaScript

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

A Keras implementation of YOLOv3 (Tensorflow backend)

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

Automated Adversary Emulation Platform

Synthesizing and manipulating 2048x1024 images with conditional GANs

Deep Residual Learning for Image Recognition

📚Open Source Curriculum for CNCF Certification Courses

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.

A system for quickly generating training data with weak supervision

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

Markdown Presentations for Tech Conferences, Training, Developer Advocates, and Educators.

A TensorFlow implementation of DeepMind's WaveNet paper

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

A simple, fully convolutional model for real-time instance segmentation.

A PyTorch Implementation of Single Shot MultiBox Detector

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

PyTorch deep learning projects made easy.

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/