Embodied Reasoning Question Answer (ERQA) Benchmark

Clean and simple starter repo using the T3 Stack along with Expo React Native

Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)

Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜

Universal and Transferable Attacks on Aligned Language Models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Simple and easily configurable grid world environments for reinforcement learning

OpenAI Gym wrapper for the DeepMind Control Suite

Template Makefile for ML projects in Python.

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

Setup and customize deep learning environment in seconds.

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

Reinforcement Learning in PyTorch

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…

some simple dotfiles

[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

A light weight Python library for the Spotify Web API

Implementation of Model-Agnostic Meta-Learning (MAML) in Jax

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

Write scalable load tests in plain Python 🚗💨

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

Paper list of multi-agent reinforcement learning (MARL)