deep-learning

A state-of-the-art semi-supervised method for image recognition

BirdNET analyzer for scientific audio data processing.

A unified framework for Deep Learning Models on tabular data

NYU Deep Learning Spring 2021

Rainbow: Combining Improvements in Deep Reinforcement Learning

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Frustum PointNets for 3D Object Detection from RGB-D Data

[ICCV 2017] Torch code for Grad-CAM

:fire::fire: Deep Learning Head Pose Estimation using PyTorch.

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

Deep Learning for Time Series Classification

Collection of google colaboratory notebooks for fast and easy experiments

[UNMAINTAINED] Automated machine learning for analytics & production

Synthetic data generators for tabular and time-series data

INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model

Unified Training of Universal Time Series Forecasting Transformers

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

Machine Learning Platform and Recommendation Engine built on Kubernetes