Pinned Repositories
alpaca-py
The Official Python SDK for Alpaca API
AlphaTrade
JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading
alstm
Adaptive LSTM from Breaking the Activation Function Bottleneck Through Adaptive Parameterization (https://arxiv.org/abs/1805.08574)
backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
colab-github
Authenticate with GitHub in Google Colab to access private repo.
curiousreplay
Implementations of Curious Replay for model-based adaptation.
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
EfficientZero
Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
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bradlick's Repositories
bradlick/alpaca-py
The Official Python SDK for Alpaca API
bradlick/AlphaTrade
JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading
bradlick/backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
bradlick/colab-github
Authenticate with GitHub in Google Colab to access private repo.
bradlick/curiousreplay
Implementations of Curious Replay for model-based adaptation.
bradlick/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
bradlick/EfficientZero
Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
bradlick/ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
bradlick/envpool
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
bradlick/episodic-transformer-memory-ppo
Clean baseline implementation of PPO using an episodic TransformerXL memory
bradlick/evosax
Evolution Strategies in JAX 🦎
bradlick/FinRL
FinRL: Financial Reinforcement Learning. 🔥
bradlick/FinRL-Meta
FinRL-Meta: Dynamic datasets and market environments for FinRL.
bradlick/go-explore
Code for Go-Explore: a New Approach for Hard-Exploration Problems
bradlick/google-research
Google Research
bradlick/groove
Official implementation for the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design"
bradlick/gym-mtsim
A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
bradlick/learned_optimization
bradlick/MicroRTS
A simple and highly efficient RTS-game-inspired environment for reinforcement learning
bradlick/muzero-general
MuZero
bradlick/panda
code powering the comma.ai panda
bradlick/phasic-policy-gradient
Code for the paper "Phasic Policy Gradient"
bradlick/pybroker
Algorithmic Trading in Python with Machine Learning
bradlick/RayEnvWrapper
OpenAi's gym environment wrapper to vectorize them with Ray
bradlick/recurrent-ppo-truncated-bptt
Baseline implementation of recurrent PPO using truncated BPTT
bradlick/sbx
SBX: Stable Baselines Jax (SB3 + Jax)
bradlick/shedskin
Shed Skin is a restricted-Python-to-C++ compiler. Read the introduction below to learn about the restrictions.
bradlick/Stoix
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
bradlick/vectorbt
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
bradlick/warp-drive
Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)