A mix of GAN implementations including progressive growing
Currently undergoing major changes, please use the previous release OR ensure you know which commit you downloaded :)
Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations.
Code for 'Stereo R-CNN based 3D Object Detection for Autonomous Driving' (CVPR 2019)
This is the official code of High-Resolution Representations for Object Detection.
The LiDAR segmenters library, for segmentation-based detection.
Semantic Image Synthesis with Spatially-Adaptive Normalization.
Pansori is a program for creating an automatic speech recognition (ASR) corpus from online videos with audio and subtitle data.
Easy-to-use word-to-word translations for 3,564 language pairs.
Example how to run TensorFlow lib C API on Windows, Linux and macOS(Darwin).
This project will help you get up to speed with generating synthetic training images in Unity.
The AeroScapes aerial semantic segmentation benchmark comprises of images captured using a commercial drone from an altitude range of 5 to 50 metres.
Ping multiple servers and show the result in a top like terminal UI.
TinyDB is a lightweight document oriented database optimized for your happiness :)
ShardingSphere - Distributed Database Middleware Ecosphere
BakTst_Trd is a Quantitative trading system.
minikeyvalue is a ~200 line (not including tests!) non-proxying distributed key value store.
This project is Pose Estimation on iOS with Core ML.
textpipe is a Python package for converting raw text in to clean, readable text and extracting metadata from that text.
The author's officially unofficial PyTorch BigGAN implementation.
An op-for-op PyTorch reimplementation of DeepMind's BigGAN model with the pre-trained weights from DeepMind.
PyTorch implementation of Grad-CAM (Gradient-weighted Class Activation Mapping).
The web is full of data. Transistor is a web scraping framework for collecting, storing, and using targeted data from structured web pages.
ModelChimp is an experiment tracker for Deep Learning and Machine Learning experiments.
Dragonfly is an open source python library for scalable Bayesian optimisation.