RL and MARL with Flax NNX
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Sep 7, 2026 - Python
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flax-nnx
Here are 20 public repositories matching this topic...
The best ChatGPT-style model that $100 of TPU time can buy.
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Jul 14, 2026 - Python
Educational, modular, and high-performance Diffusion Transformers (DiT) in JAX and Flax NNX.
computer-vision deep-learning flax dit tpu jax diffusion-models generative-ai diffusion-transformers flax-nnx
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Aug 23, 2026 - Python
Titans: Learning to Memorize at Test Time
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Jan 23, 2026 - Python
Scientific machine learning for JAX/Flax NNX: neural operators (FNO family, DeepONet, PINO, UNO), physics-informed networks (PINN, FBPINN, XPINN), E(3)-equivariant atomistic potentials (SchNet, PaiNN, NequIP), differentiable Kohn-Sham DFT, SINDy equation discovery, uncertainty quantification (conformal, GPs, SBI), PDEBench benchmarking.
python machine-learning deep-learning density-functional-theory flax uncertainty-quantification gaussian-processes pinn conformal-prediction jax interatomic-potentials scientific-machine-learning sciml physics-informed-neural-networks equation-discovery deeponet neural-operators fourier-neural-operator equivariant-neural-networks flax-nnx
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Sep 13, 2026 - Python
nanoGPT for Diffusion Language Models
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Jun 5, 2026 - Python
Deep reinforcement learning algorithms and environments, written completely in JAX + Flax NNX for end-to-end GPU-accelerated training.
reinforcement-learning deep-learning deep-reinforcement-learning dqn rl flax sac drl ppo a2c jax td3 model-free-rl flax-nnx
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Aug 14, 2026 - Python
Differentiable data pipelines for JAX/Flax NNX: HuggingFace, TFDS and ArrayRecord sources, augmentation stages, scan-based epochs, exact mid-epoch resume.
python machine-learning streaming deep-learning dataloader flax data-augmentation data-pipeline grain input-pipeline differentiable jax tensorflow-datasets data-loading huggingface checkpointing huggingface-datasets flax-nnx orbax arrayrecord
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Sep 14, 2026 - Python
JAX benchmarking, profiling and evaluation metrics for Flax NNX: a registry of pure-function metrics (regression, classification, calibration, uncertainty, forecasting, generative, image, text, audio, graph, fairness), XLA FLOP counting, roofline analysis, GPU and energy monitoring, regression detection, publication exports, W&B and MLflow.
python benchmarking machine-learning metrics calibration statistical-analysis profiling uncertainty-quantification evaluation-metrics model-evaluation roofline jax energy-monitoring probabilistic-forecasting mlflow regression-detection flops wandb gpu-profiling flax-nnx
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Sep 12, 2026 - Python
Molecular active learning with JAX
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Aug 26, 2026 - Python
End-to-end differentiable bioinformatics for JAX/Flax NNX: soft Smith-Waterman alignment, read mapping and assembly, variant calling, RNA-seq, single-cell, epigenomics, CRISPR, metabolomics, multi-omics, protein and RNA structure, molecular dynamics and drug-discovery operators composed into trainable pipelines on the Avitai stack.
machine-learning bioinformatics rna-seq deep-learning genomics protein-structure molecular-dynamics computational-biology rna-structure drug-discovery crispr variant-calling sequence-alignment single-cell-genomics epigenomics differentiable jax multiomics foundation-models flax-nnx
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Sep 11, 2026 - Python
Flax NNX implementation of common metrics.
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Jan 17, 2026 - Python
Physics-informed, RL-aligned evaluation engine for autonomous driving: JAX/Flax NNX trajectory-diffusion world models on the Waymo Open Dataset, DPO and reward-guided adversarial steering toward the scenarios that break AV stacks, physics feasibility, occupancy flow, WOSAC-style realism metrics and sensor simulation.
machine-learning reinforcement-learning deep-learning simulation flax autonomous-driving autonomous-vehicles trajectory-prediction self-driving-cars traffic-simulation generative-models jax world-models motion-forecasting dpo diffusion-models scenario-generation waymo-open-dataset occupancy-flow flax-nnx
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Sep 11, 2026 - Python
KGE-JAXed: A simple knowledge graph embedding library created in JAX
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Jun 11, 2026 - Python
Generative modeling for JAX/Flax NNX: VAEs, GANs, DDPM/DDIM/score/DiT/latent diffusion, normalizing flows, energy-based, autoregressive and geometric (SE(3), protein, point cloud, mesh) models; image, text, audio, molecular, protein, tabular and time-series modalities; a shared Trainer with callbacks and extensions; evaluation through calibrax.
python machine-learning deep-learning generative-adversarial-network flax protein-design normalizing-flows variational-autoencoder generative-models geometric-deep-learning jax diffusion-models energy-based-models molecular-generation autoregressive-model stable-diffusion generative-ai equivariant-neural-networks kolmogorov-arnold-networks flax-nnx
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Sep 12, 2026 - Python
A 2-in-1 notebook-based tutorial and implementation of Manifold-Constrained Hyper-Connections using JAX
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Feb 23, 2026 - Jupyter Notebook
JaxNN: Foundation Models in JAX/Flax
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Jun 2, 2026 - Python
JAX/Flax NNX training infrastructure: device meshes and SPMD sharding, an Orbax checkpoint store, early stopping and callbacks, W&B and MLflow logging.
python machine-learning deep-learning sharding flax data-parallel model-parallelism distributed-training spmd jax mlflow early-stopping experiment-tracking checkpointing wandb fsdp flax-nnx orbax tensor-parallel pipeline-parallel
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Sep 14, 2026 - Python
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