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1. DeepSeek-V3-Distributed-Training DeepSeek-V3-Distributed-Training Public

   Distributed training framework for DeepSeek-V3 (Multi-Head Latent Attention, DeepSeekMoE, auxiliary-loss-free load balancing) with composable DP/FSDP/HSDP/TP/PP/CP/EP parallelism, torchtitan-inspired.

   Python

2. Fourier-Neural-Operator Fourier-Neural-Operator Public

   Fourier Neural Operator, DeepONet, and PINN: implemented, tested, and benchmarked head-to-head on the same PDE data.

   Python

3. Driving-World-Model Driving-World-Model Public

   A world model for autonomous driving that predicts next-frame observations conditioned on actions, built on a UNet2D diffusion backbone with learned action embeddings.

   Python

4. Physically-Informed-Reinforcement-Learning Physically-Informed-Reinforcement-Learning Public

   This repository contains the implementation of a Physically Informed Reinforcement Learning agent. The project utilizes Proximal Policy Optimization (PPO) to train a robotic agent for the "Lift" ma…

   Python

5. Liger-Kernel Liger-Kernel Public

   Forked from linkedin/Liger-Kernel

   Efficient Triton Kernels for LLM Training

   Python

6. accelerate accelerate Public

   Forked from huggingface/accelerate

   🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

   Python