Berlin/Tokyo

Robert Tjarko Lange

Elite
@RobertTLange

Meta-Discovery @SakanaAI πŸ•΅οΈ

gymnax. RL Environments in JAX 🌍

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evosax. Evolution Strategies in JAX 🦎

775

code-and-blog. Some small scale experiments for my blog posts πŸ“

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gymnax-blines. Baselines for gymnax πŸ€–

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reading-notes-ml. Progress, Notes, Summaries and a lot of Questions on Machine Learning

55

spinningup-workspace. Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.

40

agentlens. Local in-depth observability for coding-agent sessions πŸ”Ž

35

deep-rl-tutorial. A Tutorial on Deep Reinforcement Learning in PyTorch

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flexible-learning-group. A curated list of papers presented in the πŸ“–"Flexible Learning Reading Group" @ TU Berlin. Join us! πŸ€—

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headless-cli. One unified CLI for headless coding agent execution πŸ€–

26

es-lottery. Lottery Tickets in Evolutionary Optimization (Lange & Sprekeler, ICML 2023)

17

gym-hanoi. A Towers of Hanoi environment in OpenAI Gym Style

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minimal-meta-rl. Minimal A2C/A3C example of an LSTM-based meta-learner.

13

SequentialBayesianLearning. Sequential Bayesian Learning Agents learning data-generating process of binary sequence.

11

automata-perturbation-lstm. Code accompanying GΓ³mez-Nava et al. (2023, Nature Physics)

10

gym-swarm. A Swarm environment in OpenAI gym style

9

StochVol_HMM. Stochastic Volatility Modelling using Hidden Markov Model

9

algonauts-2021. Algonauts 2021 Challenge Mini-Track submission based on SimCLR-v2 features & Bayesian Optimization

6

action-grammars-hrl. Action Grammars for Hierarchical Reinforcement Learning

5

evojax-benchmarks. Benchmarking Utilities for EvoJAX

5

Reading_Notes_Neuro. Progress, Notes, Summaries and a lot of Questions on Neuroscience

5

PlotNeuralNet. Latex code for making neural networks diagrams

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Bio-Plausible-DeepLearning. Who needs backprop? - Guerguiev et al (2017) - Reproduction & Robustness Checks

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RobertTLange.

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hibiki. An agent-first text-to-speech MacOS app & CLI πŸŽ™οΈ

3

todui. An Agent-Human Todo TUI App πŸ“‹

3

ModelsNeuralSystems. Computer Practical Coursework for BCCN Berlin course "Models of Neural Systems" (2018/2019)

2

python-markdown-generator. Python library for dynamically generating HTML sanitised Markdown syntax.

2

evojax. Jupyter Notebook

1

markdown. A Python implementation of John Gruber’s Markdown with Extension support.

1

picknmix. A simple tool to help building stacking models.

1

sequitur. Automatically exported from code.google.com/p/sequitur

1

jax. Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

1

rlpyt. Reinforcement Learning in PyTorch

1

Lexis. Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential Data

1

pybullet-gym. Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

1

mistral-jax. JAX implementation of the Mistral model

1

Migration_and_Technology_Diffusion. Bachelor Thesis tackling the Impact of Skilled-Worker Immigration on the Diffusion of New Technologies

1

RandGLM. RandNLA methods for estimating GLMs with Big Datasets

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