zuenko

google-research

Google Research

binance-trade-bot

Automated cryptocurrency trading bot

binance-trade-bot

Automated cryptocurrency trading bot

Mycodo

An environmental monitoring and regulation system

SRGAN-PyTorch

A simple and complete implementation of super-resolution paper.

ngboost

Natural Gradient Boosting for Probabilistic Prediction

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

AVUC

Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.

pytorch-ensembles

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

ViRB

Visual Representation Learning Benchmark for Self-Supervised Models

easy-few-shot-learning

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

project-code-py

Leetcode using AI

apps

APPS: Automated Programming Progress Standard (NeurIPS 2021)

torchSR

Super Resolution datasets and models in Pytorch

Krypto-trading-bot

Self-hosted crypto trading bot (automated high frequency market making) written in C++

python-binance

Binance Exchange API python implementation for automated trading

RLTrader

A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

Deep-Reinforcement-Learning-in-Trading

This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated and historical market data. This was inspired by OpenAI Gym framework.

stylegan2-ada-pytorch

StyleGAN2-ADA - Official PyTorch implementation

senya-ashukha

URT

ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification

suncet

Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

uncertainty-toolbox

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

Ensemble-Pytorch

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

BYOL

Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.

GroupNorm-reproduce

An official collection of code in different frameworks that reproduces experiments in "Group Normalization"

barlowtwins

PyTorch implementation of Barlow Twins.