Pinned Loading

1. character-level-lm character-level-lm Public

   Implementation of a character-level Transformer language model in PyTorch, trained on Victor Hugo’s texts for autoregressive text generation.

   Python 1

2. adaptive-nsga-II adaptive-nsga-II Public

   Adaptive NSGA-II implementation with dynamic mutation strategies for improved multi-objective optimization performance.

   Python 1

3. continual-learning-cifar10 continual-learning-cifar10 Public

   Comparing anti-forgetting methods (Fine-tuning, Replay, EWC, LwF) on Split CIFAR-10.

   Jupyter Notebook 1

4. cuda-neural-network-optimizer cuda-neural-network-optimizer Public

   Forked from FarahSarah/cuda-neural-network-optimizer

   Optimized CUDA implementation for training shallow neural networks with shared memory tiling, kernel fusion, and double buffering techniques. Includes baseline comparison and performance analysis.

   Jupyter Notebook

5. language-guided-robotics language-guided-robotics Public

   Forked from SchoolofAI-Algiers/language-guided-robotics

   Robots learning to follow natural language instructions using RL and multi-modal AI.

   Jupyter Notebook

6. llm-from-scratch llm-from-scratch Public

   Implementation of the GPT-2 training lifecycle: self-attention, pretraining on raw text, SFT on instructions, and preference alignment with DPO.

   Python 1