There are no reviews yet. Be the first to send feedback to the community and the maintainers!
gymnax
RL Environments in JAX πevosax
Evolution Strategies in JAX π¦code-and-blog
Some small scale experiments for my blog posts πgymnax-blines
Baselines for gymnax π€reading-notes-ml
Progress, Notes, Summaries and a lot of Questions on Machine Learningspinningup-workspace
Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.deep-rl-tutorial
A Tutorial on Deep Reinforcement Learning in PyTorchflexible-learning-group
A curated list of papers presented in the π"Flexible Learning Reading Group" @ TU Berlin. Join us! π€es-lottery
Lottery Tickets in Evolutionary Optimization (Lange & Sprekeler, ICML 2023)minimal-meta-rl
Minimal A2C/A3C example of an LSTM-based meta-learner.gym-hanoi
A Towers of Hanoi environment in OpenAI Gym StyleSequentialBayesianLearning
Sequential Bayesian Learning Agents learning data-generating process of binary sequence.automata-perturbation-lstm
Code accompanying GΓ³mez-Nava et al. (2023, Nature Physics)gym-swarm
A Swarm environment in OpenAI gym styleStochVol_HMM
Stochastic Volatility Modelling using Hidden Markov Modelalgonauts-2021
Algonauts 2021 Challenge Mini-Track submission based on SimCLR-v2 features & Bayesian OptimizationReading_Notes_Neuro
Progress, Notes, Summaries and a lot of Questions on Neuroscienceevojax-benchmarks
Benchmarking Utilities for EvoJAXBio-Plausible-DeepLearning
Who needs backprop? - Guerguiev et al (2017) - Reproduction & Robustness ChecksRobertTLange
ModelsNeuralSystems
Computer Practical Coursework for BCCN Berlin course "Models of Neural Systems" (2018/2019)Migration_and_Technology_Diffusion
Bachelor Thesis tackling the Impact of Skilled-Worker Immigration on the Diffusion of New TechnologiesRandGLM
RandNLA methods for estimating GLMs with Big DatasetsLove Open Source and this site? Check out how you can help us