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Starred repositories
List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.
List of papers related to neural network quantization in recent AI conferences and journals.
[ICCV 2023] RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers
Modular visual interface for GDB in Python
Efficient Triton Kernels for LLM Training
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A best practice for deep learning project template architecture.
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
[IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
Cracking the Coding Interview 6th Ed. Solutions
A new markup-based typesetting system that is powerful and easy to learn.
Experimental KVM-based type-2 hypervisor in Rust implemented from scratch.
AddressSanitizer, ThreadSanitizer, MemorySanitizer
Get up and running with Llama 3.3, Phi 4, Gemma 2, and other large language models.
💯 Curated coding interview preparation materials for busy software engineers
Angrave's Crowd-Sourced System Programming Book used at UIUC
Cross-platform Rust rewrite of the GNU coreutils
