Skip to content

Author

Yuvraj Singh

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#diffusion models Open access Oct 2026

Paper-Replications: From-Scratch PyTorch Replications of Classic and SOTA AI/ML Papers

Paper-Replications is a collection of from-scratch PyTorch implementations replicating classic and state-of-the-art AI/ML papers: transformer variants, attention mechanisms, GANs, diffusion models, CLIP-style vision-language models, LoRA and MoE fine-tuning, and more. The Paper-Replications source code and notebooks ar...

Yuvraj Singh · 0 citations
#reinforcement learning Open access Oct 2026

NeatRL: Readable Single-File Reinforcement Learning Implementations in PyTorch

NeatRL is a reinforcement learning library built around single-file, self-contained implementations of classic and modern deep RL algorithms: DQN, A2C, PPO, DDPG, TD3, SAC and more, with Gymnasium and Atari support and Weights & Biases experiment tracking. NeatRL source code is licensed under the MIT License.

Yuvraj Singh · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.