Stars
OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
Unofficial PyTorch implementation of the paper "Conditional Channel Gated Networks for Task-Aware Continual Learning"
A textbook on introduction to Digital Signal Processing fundamentals
Using Low-rank adaptation to quickly fine-tune diffusion models.
Compression aware Continual Learning
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
Implementation of the variational continual learning method
This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Practical course about Large Language Models.
Code Examples for the book "On Java 8"
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Class-Incremental Learning: A Survey (TPAMI 2024)
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Summary, Code for Deep Neural Network Quantization
Awesome LLM compression research papers and tools.
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
Model compression by constrained optimization, using the Learning-Compression (LC) algorithm