bptt

Baseline implementation of recurrent PPO using truncated BPTT

Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.

[TMLR] S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks

Forward/backward pass of LSTM with peepholes and projections

Completing the 2x2 factorial: HRM's hierarchy with full BPTT reveals gradient-architecture interaction

GRU-based neural network equalizer in Verilog with FPGA deployment, RTL simulation, and on-chip BPTT training for adaptive communication channel equalization.

Gradient checkpointing and VRAM auto-tuning for spiking neural network training. O(sqrt(T)) activation memory with bit-identical gradients.

An LSTM language model built from first principles in NumPy for learning gated recurrent networks and long-term sequence modeling.

IMDB sentiment analysis with a from-scratch RNN in low-level TensorFlow 2 (no Keras RNN layers). Padding/truncation, vocab limits, and BPTT training.